{"id":"W2978761813","doi":"10.1016/j.chest.2019.05.027","title":"Human Observer vs Prediction Model for Lung Nodule Malignancy Risk Estimation","year":2019,"lang":"en","type":"letter","venue":"CHEST Journal","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Brock University; Vancouver Coastal Health; University of British Columbia; BC Cancer Agency","funders":"Terry Fox Research Institute","keywords":"Medicine; Lung cancer; Lung cancer screening; Nodule (geology); Malignancy; Scopus; Radiology; Lung; Nuclear medicine; MEDLINE; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.006783976,0.0002470041,0.0008897921,0.0004671259,0.0005672397,0.001412237,0.0006831748,0.007233021,0.004883225],"category_scores_gemma":[0.05818977,0.0002864086,0.0006176364,0.000334176,0.0006320185,0.001210018,0.0004683374,0.00532063,0.003664034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001416789,"about_ca_system_score_gemma":0.00111832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00839279,"about_ca_topic_score_gemma":0.01048843,"domain_scores_codex":[0.9966525,0.00226815,0.0002107046,0.0002717804,0.0004336582,0.0001632671],"domain_scores_gemma":[0.9619949,0.03238649,0.0006042078,0.001118354,0.003347527,0.0005485948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.002540601,0.0003276221,0.06473476,0.0001876519,0.0002499991,0.004273226,0.0003744589,0.01475115,0.001236959,0.01205897,0.6017159,0.2975488],"study_design_scores_gemma":[0.001054428,0.001044245,0.03461775,0.0005632406,0.0002881584,0.009578255,0.0008943131,0.5668985,0.004122665,0.115416,0.2652306,0.0002918453],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02455237,0.002196497,0.0416817,0.9012565,0.01493916,0.00006658312,0.0009641496,0.0004376901,0.01390536],"genre_scores_gemma":[0.6800562,0.001950579,0.03395772,0.2245757,0.02795119,0.0002378064,0.0008256431,0.0002425726,0.03020245],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00839279,"threshold_uncertainty_score":0.03587753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03303787511059934,"score_gpt":0.3023008160985061,"score_spread":0.2692629409879067,"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."}}