{"id":"W4294550833","doi":"10.1016/j.jacr.2022.08.006","title":"Clinical Impact and Generalizability of a Computer-Assisted Diagnostic Tool to Risk-Stratify Lung Nodules With CT","year":2022,"lang":"en","type":"article","venue":"Journal of the American College of Radiology","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saskatchewan Health Authority; Saskatchewan Health; University of Saskatchewan; Saskatoon Medical Imaging","funders":"National Cancer Institute; Saskatchewan Health Research Foundation; University of Saskatchewan","keywords":"Medicine; National Lung Screening Trial; Generalizability theory; Lung cancer screening; Radiology; Lung cancer; Malignancy; Lung; Nodule (geology); Cohort; Retrospective cohort study; Internal medicine; Computed tomography","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":[0.02599685,0.0007786538,0.0005925405,0.00250035,0.0002370501,0.001321514,0.0009365674,0.001440502,0.001925636],"category_scores_gemma":[0.1028027,0.0002974768,0.001007842,0.001230976,0.0007073075,0.001034788,0.0008445478,0.001002446,0.000563061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009375289,"about_ca_system_score_gemma":0.000610517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002352279,"about_ca_topic_score_gemma":0.002204914,"domain_scores_codex":[0.9889454,0.005793756,0.0007950207,0.001557946,0.002675563,0.0002323136],"domain_scores_gemma":[0.9273672,0.05323725,0.006524506,0.005364486,0.006606875,0.0008997775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002572786,0.0003406946,0.8735969,0.0001150382,0.0007050856,0.0001015595,0.0001055926,0.00575848,0.001279765,0.0001311945,0.001062783,0.1142301],"study_design_scores_gemma":[0.0004973666,0.005070104,0.8763735,0.0001696566,0.0009561835,0.0008119995,0.0001704992,0.1091609,0.00319828,0.0008752178,0.002660804,0.00005543899],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9729198,0.0023636,0.0155249,0.00221696,0.0001692673,0.0003973764,0.0007724167,0.0004229573,0.005212802],"genre_scores_gemma":[0.9940714,0.0002510815,0.004621169,0.0002650409,0.0001068415,0.00004270504,0.0003411736,0.00002853363,0.0002719627],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02599685,"threshold_uncertainty_score":0.1374861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01261213224341266,"score_gpt":0.3239130873341108,"score_spread":0.3113009550906982,"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."}}