{"id":"W2147644017","doi":"10.1136/oemed-2014-102286","title":"CAREX Canada: an enhanced model for assessing occupational carcinogen exposure","year":2014,"lang":"en","type":"article","venue":"Occupational and Environmental Medicine","topic":"Occupational and environmental lung diseases","field":"Medicine","cited_by":112,"is_retracted":false,"has_abstract":true,"ca_institutions":"Occupational Cancer Research Centre; Cancer Care Ontario; University of British Columbia; Simon Fraser University","funders":"","keywords":"Environmental health; Context (archaeology); Carex; Exposure assessment; Occupational exposure; Population; European union; Toxicology; International agency; Medicine; Geography; Cancer; Biology; Business; Ecology","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":[0.001446115,0.001204862,0.0007333555,0.001656748,0.001381357,0.001477521,0.00256812,0.001087194,0.008108647],"category_scores_gemma":[0.00547199,0.0005727952,0.001182757,0.001890743,0.0004641031,0.0005123389,0.001030389,0.0008484101,0.0007522439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01247565,"about_ca_system_score_gemma":0.02236752,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9544647,"about_ca_topic_score_gemma":0.913528,"domain_scores_codex":[0.9993644,0.0001878403,0.00002687511,0.0001350021,0.0001778512,0.0001079536],"domain_scores_gemma":[0.9977732,0.0007249434,0.0001539701,0.0000774285,0.001140927,0.0001295159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002289928,0.00006559479,0.03827517,0.0001480738,0.0001775576,0.0002295414,0.0001013104,0.9204335,0.0002924054,0.007615844,0.01341318,0.01901879],"study_design_scores_gemma":[0.00007520687,0.00003619335,0.005126915,0.00002617127,0.00006700037,0.00005611544,0.00005655454,0.9858888,0.00009815188,0.00166689,0.006875454,0.00002664687],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4101223,0.002696794,0.3971797,0.004082842,0.0005136981,0.002279992,0.08973671,0.005830049,0.08755795],"genre_scores_gemma":[0.8128743,0.0012178,0.1396117,0.0004466895,0.0000648674,0.0009689888,0.02037034,0.0002981192,0.02414735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04553527,"threshold_uncertainty_score":0.0916068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02166909339601668,"score_gpt":0.2694055260483402,"score_spread":0.2477364326523235,"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."}}