{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000108781,0.00009528132,0.0002298983,0.000420527,0.00002488842,0.00001334158,0.00006840551,0.00002579331,0.00008099639],"category_scores_gemma":[0.00000508637,0.00007569578,0.0002554281,0.0002898226,0.00003943798,0.0001535812,0.00001900713,0.0001523,0.00001193075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008025368,"about_ca_system_score_gemma":0.00002547982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000935291,"about_ca_topic_score_gemma":0.000004091011,"domain_scores_codex":[0.9990378,0.00003615667,0.000390305,0.00009154585,0.000318756,0.0001254146],"domain_scores_gemma":[0.9995358,0.00003638103,0.0001613,0.00009157745,0.00004016978,0.000134795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006032071,0.001872429,0.8689665,0.00004221816,0.0002143905,0.0002104597,0.00005981735,0.002862264,0.001223068,0.00007830124,0.004932496,0.1189348],"study_design_scores_gemma":[0.001556269,0.0003620695,0.9905173,0.0001445664,0.00008210322,0.0002948626,0.000006603885,0.001036224,0.0002730373,0.00005327959,0.005600937,0.00007271425],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964782,0.0006665982,0.001073944,0.001343923,0.0001823006,0.00006940614,0.000004592509,0.00001173629,0.0001692884],"genre_scores_gemma":[0.9818532,0.00004899763,0.01689471,0.0006209473,0.0005449807,0.000001438498,0.000008967871,0.000007764708,0.00001900513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1215508,"threshold_uncertainty_score":0.3086784,"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."}}