{"id":"W2324998046","doi":"10.1136/oemed-2014-102362.352","title":"0381 Adjustment for multiple comparisons in a job and industry-title analysis of a case-control study of prostate cancer","year":2014,"lang":"en","type":"article","venue":"Occupational and Environmental Medicine","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Institut National de la Recherche Scientifique; Armand Frappier Museum; Université de Montréal","funders":"","keywords":"Confidence interval; Odds ratio; Demography; Logistic regression; Population; Bayes' theorem; Medicine; Statistics; Prostate cancer; Cancer; Mathematics; Internal medicine; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004532321,0.00005334575,0.0003350371,0.00005828085,0.00001269665,6.765794e-7,0.00001908596,0.00003889324,0.0002516383],"category_scores_gemma":[0.001359956,0.00003867943,0.00001668926,0.00005958755,0.0001001284,0.000008114486,0.0000146989,0.00005454704,1.634636e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001301115,"about_ca_system_score_gemma":0.000003459935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001413412,"about_ca_topic_score_gemma":0.0001288843,"domain_scores_codex":[0.9993299,0.00008429237,0.0003160017,0.0001047499,0.0001136154,0.00005148039],"domain_scores_gemma":[0.995207,0.004577373,0.0001105794,0.00006453459,0.000005809779,0.00003470744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002204901,0.0003604584,0.9825816,0.0000514534,0.0003008138,0.00000161829,0.0003958913,0.00006105972,0.0001318931,0.0007133754,0.0002144307,0.01496688],"study_design_scores_gemma":[0.003711528,0.0004665828,0.9748998,0.00003332492,0.0008644767,0.000001439557,0.0005854771,0.0155402,0.00001707444,0.003775334,0.00005481481,0.00004995981],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950176,0.00007846763,0.003945108,0.00005728493,0.00003605765,0.0004198726,0.0003936625,0.000001708442,0.00005024212],"genre_scores_gemma":[0.9881895,0.00001204654,0.01163829,0.00002970963,0.00003153292,0.00005688961,0.000003980668,0.000003672271,0.0000344351],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01547914,"threshold_uncertainty_score":0.2755263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2640537656905159,"score_gpt":0.4896454096716347,"score_spread":0.2255916439811188,"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."}}