{"id":"W2987816503","doi":"10.1136/oem-2019-epi.12","title":"O1B.1 Modeling infertility in a cohort of canadian tradeswomen","year":2019,"lang":"en","type":"article","venue":"Occupational and Environmental Medicine","topic":"Pesticide Exposure and Toxicity","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Medicine; Infertility; Fertility; Cohort; Demography; Pregnancy; Cohort study; Confounding; Proportional hazards model; Obstetrics; Female infertility; Unit of alcohol; Gynecology; Environmental health; Population; Alcohol consumption; Alcohol; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001476284,0.0008575125,0.0005506594,0.001138913,0.002598561,0.00164152,0.002019512,0.0009330845,0.006367295],"category_scores_gemma":[0.002913316,0.0005816657,0.001650152,0.001395149,0.0005585366,0.0003931031,0.000857345,0.0009731223,0.000614912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009379352,"about_ca_system_score_gemma":0.01663585,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9744079,"about_ca_topic_score_gemma":0.9534438,"domain_scores_codex":[0.9992108,0.0001167104,0.00002379765,0.0001822709,0.000134999,0.0003313416],"domain_scores_gemma":[0.9988066,0.0001395426,0.000205615,0.0001631332,0.0003552512,0.0003298626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003078778,0.00004110827,0.9908471,0.00003022967,0.0002241145,0.0001098253,0.0001748181,0.0004504429,0.0002191777,0.000270949,0.002605713,0.004718837],"study_design_scores_gemma":[0.00005449777,0.0001108332,0.9874582,0.00007365557,0.0003586153,0.0001914279,0.0006608185,0.005592156,0.0001224501,0.0002772486,0.005077035,0.00002311742],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9801816,0.002216972,0.001649494,0.001880897,0.0001116889,0.00009852977,0.008501038,0.0001199412,0.00523991],"genre_scores_gemma":[0.9861167,0.001073885,0.001438999,0.0002019713,0.00004012802,0.0000705507,0.003619898,0.00003596363,0.007401978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02559215,"threshold_uncertainty_score":0.06805229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01927437315762597,"score_gpt":0.2022550755614688,"score_spread":0.1829807024038428,"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."}}