{"id":"W2737927605","doi":"10.1016/j.shaw.2017.07.005","title":"Priority Setting for Occupational Cancer Prevention","year":2017,"lang":"en","type":"article","venue":"Safety and Health at Work","topic":"Occupational and environmental lung diseases","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Occupational Cancer Research Centre; Cancer Care Ontario; Carleton University; Public Health Ontario; University of British Columbia; World Wildlife Fund Canada; Simon Fraser University","funders":"Partenariat Canadien Contre Le Cancer","keywords":"Environmental health; Estimation; Occupational cancer; Occupational safety and health; Stakeholder; Business; Prioritization; Occupational exposure; Medicine; Risk analysis (engineering); Engineering; Political science","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":[0.05528932,0.001360791,0.001234359,0.01385643,0.007335854,0.0081604,0.003720782,0.001913177,0.02013304],"category_scores_gemma":[0.08677056,0.0007349415,0.002194847,0.008242928,0.002507499,0.00350399,0.008453821,0.004091303,0.00217203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0482735,"about_ca_system_score_gemma":0.165647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1960242,"about_ca_topic_score_gemma":0.2708013,"domain_scores_codex":[0.9532905,0.02765201,0.003507603,0.002166831,0.01073342,0.00264969],"domain_scores_gemma":[0.9258949,0.02213137,0.005180586,0.002096166,0.03836833,0.006328685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004027739,0.0004225827,0.03539348,0.01079226,0.0004365112,0.0007651168,0.01316833,0.008661128,0.001336009,0.1260222,0.1480847,0.654515],"study_design_scores_gemma":[0.0004493825,0.0005600778,0.04616898,0.02328775,0.0005313285,0.001111166,0.01956944,0.0135341,0.003468354,0.1706652,0.7202371,0.0004172216],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04411891,0.03253574,0.4275191,0.148015,0.005277851,0.03728704,0.007203635,0.001623116,0.2964196],"genre_scores_gemma":[0.3007912,0.01513423,0.6396896,0.009869101,0.0009712032,0.009908332,0.004947405,0.0002803518,0.01840869],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1960242,"threshold_uncertainty_score":0.3897664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04913650937644411,"score_gpt":0.3994796567015568,"score_spread":0.3503431473251127,"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."}}