{"id":"W2006211026","doi":"10.1097/01.rct.0000160424.56261.bc","title":"High-Resolution CT in Silicosis","year":2005,"lang":"en","type":"article","venue":"Journal of Computer Assisted Tomography","topic":"Occupational and environmental lung diseases","field":"Medicine","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Vancouver General Hospital","funders":"","keywords":"Silicosis; Medicine; Radiography; High-resolution computed tomography; Radiology; Pneumoconiosis; Asbestosis; Nuclear medicine; Lung; High resolution; Internal medicine; Pathology; Computed tomography","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":[0.001184413,0.0003077126,0.0001789779,0.001282304,0.00021305,0.0003221302,0.0002071145,0.0005254774,0.001863919],"category_scores_gemma":[0.003852003,0.0002013765,0.0001406703,0.0004312889,0.0004482393,0.0003574573,0.0002673612,0.0002835006,0.0003826481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001159117,"about_ca_system_score_gemma":0.0002193649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008361963,"about_ca_topic_score_gemma":0.0009657739,"domain_scores_codex":[0.9996713,0.0001543051,0.00003740125,0.00002423555,0.00006958281,0.0000430963],"domain_scores_gemma":[0.9989566,0.0004054333,0.0002884066,0.00004958321,0.0001785621,0.0001214658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004459652,0.00008341463,0.9670548,0.0001428138,0.00003370657,0.006404695,0.0001943062,0.0002748293,0.01097804,0.00007697395,0.0003803982,0.01392996],"study_design_scores_gemma":[0.00004261931,0.0004742152,0.9514142,0.0001212753,0.00006114933,0.04007623,0.0003136726,0.001825587,0.004485673,0.0001778976,0.0009964511,0.0000108484],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947708,0.002703932,0.0009823756,0.0001522165,0.00001048825,0.0000236635,0.00003345112,0.00002553642,0.001297511],"genre_scores_gemma":[0.9983541,0.000675682,0.0006852356,0.00002891119,0.00002206704,0.000004927096,0.00004084853,0.000002589718,0.0001857943],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001863919,"threshold_uncertainty_score":0.006263852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009331070622270204,"score_gpt":0.2387537670938464,"score_spread":0.2294226964715762,"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."}}