{"id":"W2883156302","doi":"10.1136/oemed-2018-105189","title":"Are we doing enough to identify and prioritise occupational carcinogens?","year":2018,"lang":"en","type":"letter","venue":"Occupational and Environmental Medicine","topic":"Occupational and environmental lung diseases","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"International agency; Occupational cancer; Occupational exposure; Environmental health; Medicine; Carcinogen; Occupational lung disease; Lung cancer; Occupational medicine; Cancer; Occupational disease; Exposure assessment; Agency (philosophy); Identification (biology); Pathology; Biology; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002864248,0.0007522617,0.001133888,0.000976389,0.002241368,0.002703847,0.001714237,0.01833996,0.01118616],"category_scores_gemma":[0.02067217,0.000563228,0.0007254169,0.000721075,0.002206436,0.006246005,0.001205543,0.02316354,0.01181516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002680719,"about_ca_system_score_gemma":0.002422757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001917037,"about_ca_topic_score_gemma":0.00369142,"domain_scores_codex":[0.9976801,0.0005414547,0.0003699065,0.0003352707,0.0007768039,0.0002964916],"domain_scores_gemma":[0.9884138,0.004896125,0.0006136626,0.0003664857,0.00392847,0.001781548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002409389,0.00005009741,0.0009529552,0.0001204193,0.000008218175,0.000849239,0.00008442284,0.00003596305,0.00009844911,0.001284332,0.9659155,0.03057633],"study_design_scores_gemma":[0.00004003156,0.00006461823,0.001608696,0.0005242815,0.00001831321,0.003860664,0.0006445922,0.0002112832,0.0001216195,0.005906906,0.9869564,0.00004258733],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.000255661,0.004081377,0.0001820411,0.9403144,0.05326434,0.000008996956,0.00003300927,0.00002438295,0.001835727],"genre_scores_gemma":[0.003523171,0.01258975,0.0007445931,0.7865691,0.1881182,0.00004085595,0.0000808129,0.00004133613,0.008292258],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.01833996,"threshold_uncertainty_score":0.03742141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03417230997682069,"score_gpt":0.3066120664228212,"score_spread":0.2724397564460005,"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."}}