{"id":"W1660939777","doi":"10.26443/mjm.v10i2.453","title":"Asbestos: mining exposure, health effects and policy implications","year":2020,"lang":"en","type":"article","venue":"McGill Journal of Medicine","topic":"Occupational and environmental lung diseases","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Asbestos; Medicine; Environmental health; Scientific evidence; Asbestos fibers","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001015589,0.00008756499,0.0003048207,0.00009162361,0.00008252739,0.000001862668,0.00004528139,0.00002299972,0.00003871177],"category_scores_gemma":[0.0003527369,0.00005984799,0.000043621,0.0001409568,0.00008553179,0.00005523717,0.00002041094,0.0001090838,0.000004136676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000595064,"about_ca_system_score_gemma":0.00006470271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001408314,"about_ca_topic_score_gemma":4.131487e-7,"domain_scores_codex":[0.9991734,0.00003129686,0.000335709,0.00009426246,0.0002489002,0.0001164503],"domain_scores_gemma":[0.9990375,0.00009144909,0.0002008915,0.00006732752,0.00003767432,0.0005651503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00108615,0.0004673075,0.6122652,0.001279046,0.0003701786,0.0002485035,0.001302553,0.00002577101,0.02197329,0.002525871,0.07522068,0.2832355],"study_design_scores_gemma":[0.002960176,0.00402949,0.958513,0.0004219552,0.0001207864,0.0005304241,0.0001752865,0.00001291037,0.0001166591,0.0001601009,0.03290386,0.00005533453],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5693265,0.007448097,0.0001466564,0.4211253,0.000103733,0.0002347419,0.00002217456,0.00002060411,0.001572191],"genre_scores_gemma":[0.9510972,0.001071281,0.0007623724,0.04625672,0.0007543311,0.000001783258,0.000008757169,0.00001067585,0.00003690408],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3817707,"threshold_uncertainty_score":0.244053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0365402648424496,"score_gpt":0.3281205444573563,"score_spread":0.2915802796149067,"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."}}