{"id":"W2945121172","doi":"10.1016/j.jacr.2019.03.006","title":"Application of Lung-Screening Reporting and Data System Versus Pan-Canadian Early Detection of Lung Cancer Nodule Risk Calculation in the Alberta Lung Cancer Screening Study","year":2019,"lang":"en","type":"article","venue":"Journal of the American College of Radiology","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"Royal Alexandra Hospital; Alberta Health Services; Brock University; University of Calgary","funders":"Philips; Alberta Cancer Foundation; University of Calgary; Pancreatic Cancer Action Network","keywords":"Lung cancer; Medicine; Lung cancer screening; Nodule (geology); Lung; Radiology; Cancer; Oncology; Internal medicine; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.01424267,0.0008488063,0.0009379825,0.001548488,0.000906045,0.002128925,0.002319685,0.0006983422,0.001190778],"category_scores_gemma":[0.02799642,0.0004442281,0.001937038,0.003040122,0.0004711117,0.0004920976,0.001426744,0.001337309,0.0001411348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01208219,"about_ca_system_score_gemma":0.02382969,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9532408,"about_ca_topic_score_gemma":0.9505003,"domain_scores_codex":[0.9897153,0.005333319,0.0006328917,0.0009357807,0.002548277,0.0008344512],"domain_scores_gemma":[0.9910408,0.003446937,0.0009488139,0.0006916718,0.003145207,0.0007266311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005097569,0.0001162521,0.9653539,0.0001945595,0.001873497,0.0000876298,0.0002988526,0.005169419,0.0003610619,0.0009081754,0.003345797,0.01719325],"study_design_scores_gemma":[0.000408322,0.0002954613,0.9689814,0.00008144456,0.002684062,0.0001056254,0.0006549918,0.02293795,0.0006029801,0.0003797758,0.00279847,0.0000695665],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9752654,0.002937054,0.0043093,0.001423801,0.0001899897,0.0003440984,0.008498739,0.0001245798,0.006906894],"genre_scores_gemma":[0.9940076,0.0002344574,0.003157404,0.0001440609,0.00002026533,0.00004777275,0.001662272,0.00002279431,0.000703413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04675919,"threshold_uncertainty_score":0.09406906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01886778248943869,"score_gpt":0.3291057165967814,"score_spread":0.3102379341073427,"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."}}