{"id":"W2801923951","doi":"10.1093/ije/dyz204","title":"The Wittenoom legacy","year":2019,"lang":"en","type":"article","venue":"International Journal of Epidemiology","topic":"Occupational and environmental lung diseases","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Population and Public Health","funders":"","keywords":"Asbestos; Mesothelioma; Medicine; Asbestosis; Environmental health; Epidemiology; Lung cancer; Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0003681712,0.0001739608,0.0001762,0.0009493437,0.001979124,0.001872068,0.0004551837,0.0006501764,0.01447605],"category_scores_gemma":[0.001800227,0.0002353781,0.0001617517,0.001452548,0.0008005457,0.00145802,0.002728411,0.001163478,0.001690883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001471779,"about_ca_system_score_gemma":0.002963649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04185369,"about_ca_topic_score_gemma":0.1335019,"domain_scores_codex":[0.999673,0.00002645527,0.00001236549,0.00007232981,0.0001162577,0.0000995671],"domain_scores_gemma":[0.9995123,0.0000493505,0.0001247213,0.00005349462,0.00009102102,0.0001690817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002367378,0.0001166213,0.1619166,0.0007980209,0.0000755831,0.00519535,0.01414772,0.000121965,0.00231641,0.05713722,0.1898806,0.5680572],"study_design_scores_gemma":[0.00000823063,0.00006948943,0.1164317,0.0004149444,0.00001944731,0.002226082,0.002030131,0.00003942888,0.0002426796,0.002333492,0.87617,0.0000144013],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4812564,0.04798235,0.001502778,0.04218332,0.002743662,0.0001329062,0.004397935,0.0001690909,0.4196316],"genre_scores_gemma":[0.6469452,0.02365025,0.00104033,0.007843005,0.0009118799,0.00007765622,0.00162174,0.00008848849,0.3178214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04185369,"threshold_uncertainty_score":0.08322018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02459347824328881,"score_gpt":0.3472438673453818,"score_spread":0.322650389102093,"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."}}