{"id":"W2312191107","doi":"10.14288/1.0095807","title":"Occupational diseases in British Columbia : frequency, distribution and implications for prevention","year":2010,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Distribution (mathematics); Environmental health; Geography; Medicine; Mathematics","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":[0.0004897871,0.0002414505,0.0002718675,0.002881397,0.0008938416,0.001078829,0.0006234498,0.0005321669,0.003905],"category_scores_gemma":[0.002129088,0.0002195053,0.0001909388,0.005821894,0.0004009469,0.0003281745,0.0005538933,0.0004994077,0.0005603242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003757907,"about_ca_system_score_gemma":0.004149769,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8686196,"about_ca_topic_score_gemma":0.8964415,"domain_scores_codex":[0.9992152,0.0001293085,0.0000757587,0.0001060854,0.0002504353,0.0002232149],"domain_scores_gemma":[0.997784,0.0003017828,0.0004926205,0.0000758919,0.0009871363,0.0003586201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004342457,0.00002871338,0.9760025,0.00007305689,0.00001686962,0.0001224074,0.0002043902,0.00006926241,0.0001500804,0.00006790138,0.003282785,0.01993859],"study_design_scores_gemma":[0.0000016565,0.00000592493,0.998841,0.00002968206,0.000004362819,0.00005224553,0.0002962161,0.00007149144,0.000007665586,0.00001509472,0.000672332,0.000002340649],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9613689,0.01275065,0.0002676657,0.002578713,0.00008898876,0.00006876558,0.01023359,0.00005017939,0.01259256],"genre_scores_gemma":[0.9899431,0.004348729,0.0002312361,0.0002037742,0.0000452733,0.00003097652,0.002715754,0.000007556236,0.002473517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1313804,"threshold_uncertainty_score":0.2643083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02882461343581634,"score_gpt":0.3358616472959071,"score_spread":0.3070370338600908,"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."}}