{"id":"W2089011914","doi":"10.1371/journal.pone.0118585","title":"Screening of Miners and Millers at Decreasing Levels of Asbestos Exposure: Comparison of Chest Radiography and Thin-Section Computed Tomography","year":2015,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Occupational and environmental lung diseases","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Universidade Estadual de Campinas; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Asbestos; Computed tomography; Medicine; Radiography; Occupational exposure; Nuclear medicine; Radiology; Environmental health; Materials science","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":[0.0006045291,0.000302494,0.0002744743,0.0007309131,0.0002893136,0.0002601421,0.0002780392,0.0004968837,0.0009056265],"category_scores_gemma":[0.002571145,0.0002317562,0.0002238496,0.000266916,0.0003368656,0.0004543493,0.0004041456,0.0001965967,0.000208261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002319959,"about_ca_system_score_gemma":0.0002386816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002987992,"about_ca_topic_score_gemma":0.004239445,"domain_scores_codex":[0.9996861,0.00009013365,0.0000238858,0.00005830193,0.00007654324,0.00006512828],"domain_scores_gemma":[0.9991996,0.0001798411,0.0003112516,0.00004208016,0.00006798007,0.0001992943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004255666,0.000055065,0.9970871,0.000007833777,0.00001275493,0.00008978691,0.000120474,0.00002308944,0.000747191,0.000005373617,0.00001951575,0.001406304],"study_design_scores_gemma":[0.00001385552,0.0004287054,0.9990104,0.000002550038,0.000007336412,0.0002015292,0.000121528,0.00008922676,0.00007665991,0.000006859431,0.00003957394,0.000001706134],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998957,0.00003113557,0.000008661651,0.000006171982,4.486426e-7,0.000002625017,0.00001095378,5.693229e-7,0.00004356928],"genre_scores_gemma":[0.9997849,0.00003473805,0.00004477629,0.000007259842,0.000004158584,0.000003471783,0.00006050881,2.643852e-7,0.00005992616],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002987992,"threshold_uncertainty_score":0.005941153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08719651805913772,"score_gpt":0.2632462758891075,"score_spread":0.1760497578299698,"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."}}