{"id":"W4383871978","doi":"10.1136/oemed-2022-108557","title":"Occupational environment and ovarian cancer risk","year":2023,"lang":"en","type":"article","venue":"Occupational and Environmental Medicine","topic":"Occupational and environmental lung diseases","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"National Cancer Institute; Institut National Du Cancer; Cancer Research Society","keywords":"Odds ratio; Medicine; Ovarian cancer; Environmental health; Job-exposure matrix; Confidence interval; Population; Logistic regression; Case-control study; Cancer; Gynecology; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0003408401,0.0001816145,0.0001654976,0.0006024365,0.0004689732,0.0005472231,0.0002846487,0.000244261,0.003239158],"category_scores_gemma":[0.00135298,0.0001030231,0.0002705906,0.0008249599,0.0003458167,0.0001262128,0.0003401102,0.0002230414,0.0002313787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009610224,"about_ca_system_score_gemma":0.001754038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1227615,"about_ca_topic_score_gemma":0.1739347,"domain_scores_codex":[0.9996784,0.00005470737,0.00001413053,0.00006212746,0.00009601752,0.00009454459],"domain_scores_gemma":[0.9993073,0.0000859997,0.0003113327,0.00002757022,0.0001567469,0.0001111343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004825001,0.00001775042,0.995078,0.00003746561,0.00006903497,0.00006782658,0.00003542322,0.00005431267,0.000211129,0.00002979587,0.0001712139,0.004179706],"study_design_scores_gemma":[0.000003340802,0.00002911923,0.998701,0.00001999008,0.0000234974,0.0001290703,0.00005387704,0.0000443104,0.00007656837,0.00002958289,0.0008881633,0.000001403739],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868469,0.007726103,0.0003215403,0.0004623425,0.00002538898,0.00002728977,0.001424298,0.000016523,0.003149605],"genre_scores_gemma":[0.9970695,0.001322191,0.0001915462,0.00006160618,0.00001753067,0.000006606596,0.0004758329,0.000002747947,0.0008525007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1227615,"threshold_uncertainty_score":0.244094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0161388706991296,"score_gpt":0.2668078065786254,"score_spread":0.2506689358794957,"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."}}