{
  "hypotheses": [
    {
      "assumed_effect": 0.2,
      "control_cell": "T01-costly",
      "direction": "positive",
      "estimand": "ITT risk difference",
      "hypothesis_id": "H1",
      "model": "blocked linear probability model",
      "multiplicity_family": "acquisition",
      "outcome": "independent_source_acquisition",
      "question": "Do participants under-acquire costly independent evidence?",
      "role": "primary",
      "treatment_cell": "T02-assigned"
    },
    {
      "assumed_effect": 0.12,
      "control_cell": "T00-baseline",
      "direction": "positive",
      "estimand": "ITT risk difference",
      "hypothesis_id": "H2",
      "model": "blocked linear probability model",
      "multiplicity_family": "information",
      "outcome": "truthful_report",
      "question": "Does attribution protection increase truthful disclosure?",
      "role": "primary",
      "treatment_cell": "T03-attribution"
    },
    {
      "assumed_effect": 0.1,
      "control_cell": "T00-baseline",
      "direction": "positive",
      "estimand": "ITT mean difference",
      "hypothesis_id": "H3",
      "model": "cluster-robust difference in means",
      "multiplicity_family": "allocation",
      "outcome": "distinct_informed_actions",
      "question": "Does public action visibility increase action diversity?",
      "role": "primary",
      "treatment_cell": "T06-visible"
    },
    {
      "assumed_effect": 0.14,
      "control_cell": "T15-public-pooling",
      "direction": "positive",
      "estimand": "ITT risk difference",
      "hypothesis_id": "H4",
      "model": "cluster-robust linear probability model",
      "multiplicity_family": "allocation",
      "outcome": "discovery",
      "question": "Does allocation repair outperform disclosure alone?",
      "role": "primary",
      "treatment_cell": "T19-visible-coverage"
    },
    {
      "assumed_effect": 0.15,
      "control_cell": "T07-pooling",
      "direction": "positive",
      "estimand": "ITT risk difference",
      "hypothesis_id": "H5",
      "model": "cluster-robust linear probability model",
      "multiplicity_family": "allocation",
      "outcome": "discovery",
      "question": "Does marginal-coverage reward improve discovery more than universal pooling?",
      "role": "primary",
      "treatment_cell": "T09-coverage"
    },
    {
      "assumed_effect": 0.18,
      "control_cell": "T05-verifiable",
      "direction": "positive",
      "estimand": "ITT risk difference",
      "hypothesis_id": "H6",
      "model": "blocked linear probability model",
      "multiplicity_family": "information",
      "outcome": "action_obedience",
      "question": "Does the DD-006B mechanism improve joint truth and obedience?",
      "role": "primary",
      "treatment_cell": "T16-verifiable-joint"
    },
    {
      "assumed_effect": 0.1,
      "control_cell": "T04-public",
      "direction": "positive",
      "estimand": "ITT mean difference",
      "hypothesis_id": "H7",
      "model": "blocked difference in means",
      "multiplicity_family": "information",
      "outcome": "disclosure_precision",
      "question": "Does verifiable provenance improve disclosure precision?",
      "role": "secondary",
      "treatment_cell": "T05-verifiable"
    },
    {
      "assumed_effect": 0.08,
      "control_cell": "T13-costly-coverage",
      "direction": "positive",
      "estimand": "pre-specified difference-in-differences interaction",
      "hypothesis_id": "H8",
      "model": "factorial interaction with block fixed effects",
      "multiplicity_family": "acquisition",
      "outcome": "social_net_value",
      "question": "Are acquisition assignment and allocation repair complementary?",
      "role": "secondary",
      "treatment_cell": "T14-assigned-coverage"
    },
    {
      "assumed_effect": 0.22,
      "control_cell": "T21-random-reader",
      "direction": "positive",
      "estimand": "ITT mean difference",
      "hypothesis_id": "H9",
      "model": "session-clustered difference in means",
      "multiplicity_family": "attention",
      "outcome": "public_signal_use",
      "question": "Does broadcast induce more public-signal use than one-reader access?",
      "role": "primary",
      "treatment_cell": "T20-public-all"
    },
    {
      "assumed_effect": 0.12,
      "control_cell": "T20-public-all",
      "direction": "positive",
      "estimand": "ITT risk difference",
      "hypothesis_id": "H10",
      "model": "session-clustered linear probability model",
      "multiplicity_family": "attention",
      "outcome": "discovery",
      "question": "Does single-reader access improve discovery relative to full broadcast?",
      "role": "primary",
      "treatment_cell": "T21-random-reader"
    },
    {
      "assumed_effect": 0.18,
      "control_cell": "T25-ignore-recommendation",
      "direction": "positive",
      "estimand": "ITT risk difference",
      "hypothesis_id": "H11",
      "model": "blocked linear probability model",
      "multiplicity_family": "implementation",
      "outcome": "one_reader_alignment",
      "question": "Does an attention license outperform a nonbinding ignore recommendation?",
      "role": "primary",
      "treatment_cell": "T26-attention-license"
    },
    {
      "assumed_effect": 0.24,
      "control_cell": "T20-public-all",
      "direction": "positive",
      "estimand": "ITT risk difference",
      "hypothesis_id": "H12",
      "model": "blocked linear probability model",
      "multiplicity_family": "implementation",
      "outcome": "one_reader_alignment",
      "question": "Does a designated reader implement one-reader allocation over broadcast?",
      "role": "primary",
      "treatment_cell": "T24-designated-reader"
    },
    {
      "assumed_effect": 0.08,
      "control_cell": "T20-public-all",
      "direction": "positive",
      "estimand": "ITT risk difference",
      "hypothesis_id": "H13",
      "model": "session-clustered linear probability model",
      "multiplicity_family": "attention",
      "outcome": "discovery",
      "question": "Do conditional recommendations improve discovery over broadcast?",
      "role": "secondary",
      "treatment_cell": "T27-off-signal-rescue"
    },
    {
      "assumed_effect": 0.07,
      "control_cell": "T25-ignore-recommendation",
      "direction": "positive",
      "estimand": "ITT mean difference",
      "hypothesis_id": "H14",
      "model": "session-clustered difference in means",
      "multiplicity_family": "attention",
      "outcome": "contrarian_action",
      "question": "Does action visibility induce the registered contrarian response?",
      "role": "secondary",
      "treatment_cell": "T28-conditional-visible"
    },
    {
      "assumed_effect": 0.18,
      "control_cell": "T30-threshold-common-mode",
      "direction": "positive",
      "estimand": "ITT risk difference",
      "hypothesis_id": "H15",
      "model": "session-clustered linear probability model",
      "multiplicity_family": "threshold",
      "outcome": "discovery",
      "question": "Does paired threshold allocation improve discovery over common-mode crowding?",
      "role": "primary",
      "treatment_cell": "T29-threshold-paired-planner"
    },
    {
      "assumed_effect": 0.14,
      "control_cell": "T30-threshold-common-mode",
      "direction": "positive",
      "estimand": "ITT mean difference",
      "hypothesis_id": "H16",
      "model": "blocked difference in means",
      "multiplicity_family": "threshold",
      "outcome": "threshold_portfolio_efficiency",
      "question": "Do team-token recommendations improve threshold portfolio efficiency over common mode?",
      "role": "primary",
      "treatment_cell": "T32-threshold-team-tokens"
    },
    {
      "assumed_effect": 0.1,
      "control_cell": "T30-threshold-common-mode",
      "direction": "positive",
      "estimand": "ITT mean difference",
      "hypothesis_id": "H17",
      "model": "session-clustered difference in means",
      "multiplicity_family": "threshold",
      "outcome": "viable_team_count",
      "question": "Does private following increase viable-team count over common mode?",
      "role": "secondary",
      "treatment_cell": "T31-threshold-private-following"
    },
    {
      "assumed_effect": 0.1,
      "control_cell": "T34-dynamic-bayes-visible-fixed",
      "direction": "positive",
      "estimand": "ITT risk difference",
      "hypothesis_id": "H18",
      "model": "session-clustered linear probability model",
      "multiplicity_family": "dynamic",
      "outcome": "discovery",
      "question": "Does hidden history preserve discovery relative to visible action history?",
      "role": "primary",
      "treatment_cell": "T33-dynamic-bayes-hidden-fixed"
    },
    {
      "assumed_effect": 0.2,
      "control_cell": "T35-dynamic-planner-hidden-fixed",
      "direction": "positive",
      "estimand": "ITT mean difference",
      "hypothesis_id": "H19",
      "model": "blocked difference in means",
      "multiplicity_family": "dynamic",
      "outcome": "action_savings",
      "question": "Does the registered stopping policy save actions relative to a fixed planner horizon?",
      "role": "primary",
      "treatment_cell": "T36-dynamic-planner-hidden-stopping"
    },
    {
      "assumed_effect": 0.16,
      "control_cell": "T33-dynamic-bayes-hidden-fixed",
      "direction": "positive",
      "estimand": "ITT risk difference",
      "hypothesis_id": "H20",
      "model": "session-clustered linear probability model",
      "multiplicity_family": "dynamic",
      "outcome": "discovery",
      "question": "Does hidden-history planner allocation improve discovery over hidden-history Bayes behavior?",
      "role": "secondary",
      "treatment_cell": "T35-dynamic-planner-hidden-fixed"
    }
  ],
  "run_id": "20260722T061958Z_DD-011_5743ccba_19b6517655",
  "schema_version": 3
}