[
  {
    "local_id": "C1",
    "type": "negative_result",
    "core": true,
    "statement": "Across 1,245 QC-passing, de-duplicated, published (DOI-linked) group-level unthresholded task-fMRI T/Z maps from 200 NeuroVault collections (N 10\u20131,369), the preregistered mixed model of log whole-brain rms standardized effect (grey-matter mask) on log N gives beta = -0.101387 (95% CI -0.272087 to 0.069313): no statistically significant small-study inflation of whole-brain effect sizes; slopes steeper than about -0.27 are excluded, but the preregistered refutation bound (-0.10) is not, so the locked decision is inconclusive.",
    "evidence": [
      {
        "result": "R1.beta_logN",
        "produced_by": "code/analyze.py",
        "tolerance": 0.0001
      },
      {
        "result": "R1.ci95_low",
        "produced_by": "code/analyze.py",
        "tolerance": 0.0001
      },
      {
        "result": "R1.ci95_high",
        "produced_by": "code/analyze.py",
        "tolerance": 0.0001
      },
      {
        "result": "R1.n_analyzed",
        "produced_by": "code/analyze.py"
      },
      {
        "result": "R1.n_collections",
        "produced_by": "code/analyze.py"
      },
      {
        "result": "R1.decision",
        "produced_by": "code/analyze.py"
      },
      {
        "result": "R1.supports_small_study_inflation",
        "produced_by": "code/analyze.py"
      },
      {
        "result": "R1.se",
        "produced_by": "code/analyze.py",
        "tolerance": 0.0001
      },
      {
        "result": "R1.delta_rms_median",
        "produced_by": "code/analyze.py",
        "tolerance": 0.0001
      },
      {
        "result": "R1.n_delta2_nonpositive",
        "produced_by": "code/analyze.py"
      },
      {
        "result": "R1.N_quantiles_0_10_25_50_75_90_100.0",
        "produced_by": "code/analyze.py"
      },
      {
        "result": "R1.N_quantiles_0_10_25_50_75_90_100.3",
        "produced_by": "code/analyze.py"
      },
      {
        "result": "R1.N_quantiles_0_10_25_50_75_90_100.6",
        "produced_by": "code/analyze.py"
      },
      {
        "result": "exclusions.X4_coverage",
        "produced_by": "code/analyze.py"
      },
      {
        "result": "exclusions.X5_core_inconsistent_with_t",
        "produced_by": "code/analyze.py"
      },
      {
        "result": "exclusions.X6_implausible_extreme",
        "produced_by": "code/analyze.py"
      },
      {
        "result": "exclusions.X7_duplicate_content",
        "produced_by": "code/analyze.py"
      },
      {
        "result": "secondary.S1_exclude_nonpositive.beta_logN",
        "produced_by": "code/analyze.py",
        "tolerance": 0.0001
      },
      {
        "result": "secondary.S1_exclude_nonpositive.ci95_low",
        "produced_by": "code/analyze.py",
        "tolerance": 0.0001
      },
      {
        "result": "secondary.S1_exclude_nonpositive.ci95_high",
        "produced_by": "code/analyze.py",
        "tolerance": 0.0001
      },
      {
        "result": "secondary.S5_collection_mean.beta_logN",
        "produced_by": "code/analyze.py",
        "tolerance": 0.0001
      },
      {
        "result": "secondary.S5_collection_mean.ci95_low",
        "produced_by": "code/analyze.py",
        "tolerance": 0.0001
      },
      {
        "result": "secondary.S5_collection_mean.ci95_high",
        "produced_by": "code/analyze.py",
        "tolerance": 0.0001
      },
      {
        "result": "secondary.S8_N_10_to_100.beta_logN",
        "produced_by": "code/analyze.py",
        "tolerance": 0.0001
      },
      {
        "result": "secondary.S8_N_10_to_100.ci95_low",
        "produced_by": "code/analyze.py",
        "tolerance": 0.0001
      },
      {
        "result": "secondary.S8_N_10_to_100.ci95_high",
        "produced_by": "code/analyze.py",
        "tolerance": 0.0001
      },
      {
        "result": "secondary.S9_baseline_contrast_covariate.beta_logN",
        "produced_by": "code/analyze.py",
        "tolerance": 0.0001
      },
      {
        "result": "secondary.S9_baseline_contrast_covariate.ci95_low",
        "produced_by": "code/analyze.py",
        "tolerance": 0.0001
      },
      {
        "result": "secondary.S9_baseline_contrast_covariate.ci95_high",
        "produced_by": "code/analyze.py",
        "tolerance": 0.0001
      },
      {
        "result": "secondary.S10_ols_cluster_collection.beta_logN",
        "produced_by": "code/analyze.py",
        "tolerance": 0.0001
      },
      {
        "result": "secondary.S10_ols_cluster_collection.ci95_low",
        "produced_by": "code/analyze.py",
        "tolerance": 0.0001
      },
      {
        "result": "secondary.S10_ols_cluster_collection.ci95_high",
        "produced_by": "code/analyze.py",
        "tolerance": 0.0001
      },
      {
        "result": "secondary.S11_no_paradigm_fe.beta_logN",
        "produced_by": "code/analyze.py",
        "tolerance": 0.0001
      },
      {
        "result": "secondary.S11_no_paradigm_fe.ci95_low",
        "produced_by": "code/analyze.py",
        "tolerance": 0.0001
      },
      {
        "result": "secondary.S11_no_paradigm_fe.ci95_high",
        "produced_by": "code/analyze.py",
        "tolerance": 0.0001
      },
      {
        "result": "secondary.S3_one_map_per_collection.beta_logN",
        "produced_by": "code/analyze.py",
        "tolerance": 0.0001
      },
      {
        "result": "secondary.S6_T_maps_only.beta_logN",
        "produced_by": "code/analyze.py",
        "tolerance": 0.0001
      },
      {
        "result": "secondary.S7_Z_maps_only.beta_logN",
        "produced_by": "code/analyze.py",
        "tolerance": 0.0001
      },
      {
        "result": "secondary.S3b_one_map_per_collection_draws.beta_p2_5",
        "produced_by": "code/analyze.py",
        "tolerance": 0.0001
      },
      {
        "result": "secondary.S3b_one_map_per_collection_draws.beta_p97_5",
        "produced_by": "code/analyze.py",
        "tolerance": 0.0001
      }
    ],
    "depends_on": [],
    "falsified_if": "R1.ci95_high < 0 (a significant negative slope), or R1.decision is support",
    "confidence": 0.75
  }
]