{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.006960451,0.0002056665,0.000462702,0.0002002359,0.0003024403,0.0001507332,0.00067406,0.0002248672,0.0001226056],"category_scores_gemma":[0.3504645,0.0001503168,0.0001650966,0.002654538,0.0001610715,0.00006861854,0.0002078663,0.0003686673,0.0000365406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004702904,"about_ca_system_score_gemma":0.00005018184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001967345,"about_ca_topic_score_gemma":0.00001080898,"domain_scores_codex":[0.9975039,0.0002102507,0.0008847648,0.0004315397,0.0005010071,0.0004685428],"domain_scores_gemma":[0.9330812,0.06514931,0.0003542015,0.0006979232,0.0004717972,0.0002456118],"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":[0.0003289654,0.0006644398,0.002394373,0.0008618698,0.0002312296,0.00001054922,0.0006754029,0.0001101827,0.0758928,0.365658,0.01162911,0.5415431],"study_design_scores_gemma":[0.001809398,0.000498893,0.0396589,0.0001357202,0.0003169976,0.00001197929,0.0001788805,0.0264933,0.0103179,0.906348,0.01338547,0.0008445876],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0573739,0.00002041387,0.9378065,0.0007332708,0.001490611,0.001129624,0.001257698,0.0001065503,0.00008144299],"genre_scores_gemma":[0.0900409,0.00000107936,0.9087027,0.0002126855,0.0007138026,0.0001207,0.00001674555,0.00003495751,0.0001563804],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5406985,"threshold_uncertainty_score":0.6550069,"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."}}