{"id":"W2938967051","doi":"10.1016/j.chest.2019.04.002","title":"Accuracy of the Vancouver Lung Cancer Risk Prediction Model Compared With That of Radiologists","year":2019,"lang":"en","type":"article","venue":"CHEST Journal","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Hologic; Philips","keywords":"Medicine; Lung cancer; Radiology; Internal medicine; Medical physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00390433,0.0009683943,0.0008541503,0.001925074,0.0004790079,0.001921879,0.0009575334,0.001177845,0.003188469],"category_scores_gemma":[0.02458216,0.0003128424,0.001089548,0.0007270184,0.0003154282,0.0008765557,0.0008046313,0.0007820816,0.001462893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009676763,"about_ca_system_score_gemma":0.002069197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07486722,"about_ca_topic_score_gemma":0.06596982,"domain_scores_codex":[0.998178,0.0006833469,0.0001668804,0.0003816752,0.00045045,0.0001396111],"domain_scores_gemma":[0.9919424,0.004786397,0.0003585965,0.0005506154,0.001954688,0.0004072536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002826173,0.0002641876,0.7577795,0.0001610579,0.001147015,0.0002652106,0.0001307933,0.06747287,0.001694012,0.0004983119,0.01054047,0.1572205],"study_design_scores_gemma":[0.0002082412,0.0004554977,0.1654523,0.00007500844,0.0009829522,0.0006886067,0.0003713927,0.8223405,0.003117912,0.001928999,0.004286703,0.00009193138],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9497648,0.002807783,0.02462351,0.002725806,0.0004850305,0.0001542797,0.005450015,0.001185585,0.01280318],"genre_scores_gemma":[0.989099,0.000435414,0.004404925,0.0002140338,0.0001040211,0.00002581523,0.002849406,0.00007208299,0.002795433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07486722,"threshold_uncertainty_score":0.1488629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02037382606385592,"score_gpt":0.2887213371105518,"score_spread":0.2683475110466959,"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."}}