{"id":"W164559051","doi":"10.24095/hpcdp.29.4.01","title":"Explaining Alberta’s rising mesothelioma rates","year":2009,"lang":"en","type":"article","venue":"Chronic diseases in Canada","topic":"Occupational and environmental lung diseases","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Alberta Cancer Foundation; Alberta Health Services","funders":"","keywords":"Mesothelioma; Asbestos; Medicine; Cohort; Incidence (geometry); Cancer registry; Demography; Population; Cohort study; Environmental health; Gerontology; Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001214538,0.0004430214,0.0003256189,0.001811775,0.001114852,0.001455418,0.001195713,0.0005947545,0.002978752],"category_scores_gemma":[0.002555897,0.0003561964,0.0008178012,0.001865541,0.0005761599,0.0004198674,0.0007361002,0.0005969207,0.0003576669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01400572,"about_ca_system_score_gemma":0.01332211,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9741847,"about_ca_topic_score_gemma":0.9748964,"domain_scores_codex":[0.9994891,0.00008130097,0.00001587401,0.00009398682,0.000113459,0.0002063777],"domain_scores_gemma":[0.9991863,0.0001698104,0.0001471536,0.0000691716,0.0002880126,0.0001395438],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001057611,0.00003880933,0.9113609,0.00004539408,0.0001374601,0.000486164,0.0006383799,0.05777584,0.0005338383,0.006561713,0.008163334,0.01415251],"study_design_scores_gemma":[0.00006631117,0.00004899216,0.7592428,0.000113587,0.0002042937,0.0003437753,0.001679397,0.2114916,0.0003970359,0.006284977,0.02005908,0.00006804996],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9595175,0.001865416,0.007216083,0.005804715,0.0001158888,0.00008874592,0.009246025,0.0003066634,0.01583907],"genre_scores_gemma":[0.9924465,0.0005086214,0.001030678,0.0001614474,0.0000246548,0.00001233909,0.00192332,0.00002461784,0.003867811],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02581531,"threshold_uncertainty_score":0.1016191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006640355486179942,"score_gpt":0.246048137350455,"score_spread":0.2394077818642751,"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."}}