{"id":"W2995358593","doi":"10.1080/08958378.2019.1702743","title":"Response to Marsh, G. M., Ierardi, A. M., Benson, S. M., &amp; Finley, B. L. (2019). Occupational exposures to cosmetic talc and risk of mesothelioma: an updated pooled cohort and statistical power analysis with consideration of latency period. Inhalation toxicology, 31(6), 213–223","year":2019,"lang":"en","type":"letter","venue":"Inhalation Toxicology","topic":"Occupational and environmental lung diseases","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Toronto","funders":"","keywords":"Cohort; Medicine; Asbestos; Mesothelioma; Inhalation; Talc; Toxicology; Cohort study; Statistical analysis; Internal medicine; Pathology; Anesthesia; Statistics; Biology; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006705702,0.0004614236,0.001191586,0.001303633,0.0001313996,0.0000390906,0.0001029841,0.0009045876,0.0009933939],"category_scores_gemma":[0.0007278993,0.0004173663,0.0001196444,0.0005948477,0.0004220513,0.0001844838,0.0001011547,0.0005390188,0.00003181328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001879271,"about_ca_system_score_gemma":0.0003582965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001648673,"about_ca_topic_score_gemma":0.0002202416,"domain_scores_codex":[0.996195,0.0008201867,0.0010379,0.0008943794,0.0006982005,0.0003543359],"domain_scores_gemma":[0.9972057,0.0009388475,0.0006527129,0.0005207565,0.0004328719,0.0002490705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008488026,0.0004193516,0.9100641,0.0001003905,0.002000707,0.00006866839,0.0003466136,0.00114918,0.009223696,0.00008390782,0.06781273,0.0002426075],"study_design_scores_gemma":[0.00181487,0.003010976,0.9847125,0.00005737644,0.003240151,0.0001032157,0.00003980738,0.0004128077,0.0004951088,0.0001171531,0.005606363,0.0003897098],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9719145,0.0001541095,0.002104481,0.02083285,0.0001091951,0.001740242,0.003024508,0.00003688599,0.00008323448],"genre_scores_gemma":[0.963446,0.00003414203,0.006258348,0.01974303,0.0001124343,0.0001026088,0.009767409,0.00005474516,0.000481332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07464834,"threshold_uncertainty_score":0.9999198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009846323931271956,"score_gpt":0.2750071029040494,"score_spread":0.2651607789727775,"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."}}