{"id":"W2604950454","doi":"10.1371/journal.pmed.1002277","title":"Risk prediction models for selection of lung cancer screening candidates: A retrospective validation study","year":2017,"lang":"en","type":"article","venue":"PLoS Medicine","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":286,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"National Cancer Institute; National Institutes of Health","keywords":"Medicine; Lung cancer; National Lung Screening Trial; Lung cancer screening; Internal medicine; Cancer; Cancer screening; Oncology; Family history; Retrospective cohort study; Body mass index; Receiver operating characteristic","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":[0.0003253792,0.0001573163,0.000463809,0.0001178968,0.0003409477,0.00001382164,0.00007607388,0.00006069868,0.00008770274],"category_scores_gemma":[0.0003516889,0.0001152878,0.0000636672,0.00009098478,0.00006950993,0.0002052304,0.00002177272,0.0001240707,4.431887e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004541151,"about_ca_system_score_gemma":0.00008110206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004193224,"about_ca_topic_score_gemma":0.0004700367,"domain_scores_codex":[0.9986845,0.00003335773,0.0003388724,0.0003459046,0.0004200772,0.0001772711],"domain_scores_gemma":[0.9985312,0.00007078308,0.0004861621,0.0003714425,0.0004448132,0.00009561474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005719061,0.000608858,0.9914928,0.0001715967,0.001193193,0.000002119674,0.00152733,0.0002166277,0.0005004413,0.00003609002,0.001818083,0.001860963],"study_design_scores_gemma":[0.01101465,0.003808778,0.8666154,0.001483469,0.004687103,0.000003210048,0.0003312988,0.1038311,0.007849257,0.0002283678,0.00003792629,0.000109469],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887937,0.0004505278,0.005316895,0.001249349,0.0003039351,0.003013902,0.0001448781,0.00006455668,0.0006622266],"genre_scores_gemma":[0.9971633,0.0005759674,0.0003638139,0.00003275375,0.0006804487,0.00087992,0.00006079228,0.00002762513,0.0002153949],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1248774,"threshold_uncertainty_score":0.6338928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.039759819627657,"score_gpt":0.3509640354887633,"score_spread":0.3112042158611062,"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."}}