{"id":"W1484865074","doi":"10.1111/j.1541-0420.2010.01491.x","title":"Estimating the Null Distribution to Adjust Observed Confidence Levels for Genome-Scale Screening","year":2010,"lang":"en","type":"article","venue":"Biometrics","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Null distribution; Test statistic; Null hypothesis; Null (SQL); Estimator; Confidence interval; Statistical hypothesis testing; Statistical inference; Frequentist inference; p-value","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.08235553,0.001623087,0.001771141,0.002642296,0.0008556243,0.003172781,0.004649656,0.00318151,0.003893051],"category_scores_gemma":[0.3896711,0.0008352406,0.001517827,0.002735907,0.004432054,0.005749946,0.005223913,0.007642061,0.0007751058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001842941,"about_ca_system_score_gemma":0.002512581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001895664,"about_ca_topic_score_gemma":0.001364591,"domain_scores_codex":[0.9536031,0.03447824,0.001371735,0.00396705,0.005963393,0.0006164849],"domain_scores_gemma":[0.6716486,0.288887,0.009452568,0.02028888,0.008743248,0.0009796536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001344661,0.0004821176,0.04039423,0.001187915,0.001192753,0.00117584,0.002303894,0.1477864,0.009354841,0.3761259,0.008207696,0.4104438],"study_design_scores_gemma":[0.0002538871,0.0005338147,0.01022133,0.0003652532,0.0002605872,0.001021147,0.0004040375,0.5372504,0.02020508,0.4203967,0.008897276,0.0001905361],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007810353,0.00017354,0.9904475,0.0004093218,0.00004903051,0.00007111617,0.00007961132,0.0002811763,0.0006784383],"genre_scores_gemma":[0.3444188,0.0002145141,0.6523346,0.001052732,0.00009073079,0.0004940724,0.0003418575,0.0003913445,0.0006614377],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.08235553,"threshold_uncertainty_score":0.4355429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7212641075307934,"score_gpt":0.5508548686905355,"score_spread":0.1704092388402579,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}