{"id":"W4324137690","doi":"10.1136/oem-2023-epicoh.200","title":"O-57 Occupational exposure to endocrine disruptors and colorectal cancer risk in two Canadian cohorts","year":2023,"lang":"en","type":"article","venue":"Abstracts","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal","funders":"","keywords":"Medicine; Colorectal cancer; Odds ratio; Job-exposure matrix; Confounding; Cohort; Vitamin D and neurology; Internal medicine; Record linkage; Confidence interval; Cohort study; Logistic regression; Cancer; Population; Subclinical infection; Environmental health; Oncology; Physiology","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":[0.0007769261,0.0006481277,0.0005077368,0.001698425,0.003787668,0.001291791,0.001393949,0.0007275528,0.003614175],"category_scores_gemma":[0.00176944,0.0006178457,0.001545528,0.004164785,0.0005807296,0.0003586376,0.001256968,0.0007968062,0.0004167548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01944838,"about_ca_system_score_gemma":0.02850251,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9943324,"about_ca_topic_score_gemma":0.9956338,"domain_scores_codex":[0.9990115,0.00004970894,0.00004698034,0.0002643359,0.0002789274,0.0003486029],"domain_scores_gemma":[0.998684,0.00005070523,0.0001950843,0.0000947546,0.0006085635,0.000366837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000280064,0.00003855913,0.9900857,0.00007344651,0.0001937575,0.0001618256,0.0008928174,0.0001251981,0.0005507396,0.0002627919,0.003212768,0.004122324],"study_design_scores_gemma":[0.00002979226,0.00003257353,0.9964082,0.00004001599,0.0001116924,0.00008486943,0.0007427927,0.0002904217,0.00006815536,0.00005696523,0.002116846,0.00001777725],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9744648,0.001045407,0.0004596886,0.0006258054,0.00005018506,0.0001476906,0.01829411,0.00004134402,0.004870978],"genre_scores_gemma":[0.9901341,0.0005423481,0.0005500502,0.0001628039,0.00001165627,0.0000729948,0.005704371,0.00001529436,0.002806383],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01944838,"threshold_uncertainty_score":0.1411086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01252934036184408,"score_gpt":0.2948668502853984,"score_spread":0.2823375099235544,"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."}}