{"id":"W2160653301","doi":"10.1093/jnci/djr173","title":"Lung Cancer Risk Prediction: Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial Models and Validation","year":2011,"lang":"en","type":"article","venue":"JNCI Journal of the National Cancer Institute","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":310,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"National Cancer Institute; Division of Cancer Prevention, National Cancer Institute; U.S. Department of Health and Human Services","keywords":"Medicine; Lung cancer; Internal medicine; Logistic regression; Population; Body mass index; Oncology; Environmental health","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":[0.0004062606,0.0001742253,0.000298644,0.0001275758,0.0002769412,0.00004457668,0.0000944706,0.00008989964,0.0001122365],"category_scores_gemma":[0.00007315475,0.0001140602,0.0001147691,0.0002014497,0.0001325287,0.0006553477,0.00005013712,0.0003114754,1.547351e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008987623,"about_ca_system_score_gemma":0.001029264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001940022,"about_ca_topic_score_gemma":0.0004921385,"domain_scores_codex":[0.9983689,0.00005831462,0.0004739325,0.0002155285,0.0007147993,0.000168571],"domain_scores_gemma":[0.9984598,0.00004208907,0.0005903493,0.00007815252,0.0006797243,0.0001498908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.03219769,0.0004878716,0.9054462,0.0002872124,0.003676569,0.0000297763,0.004012978,0.01672199,0.0002407513,0.001408363,0.01952904,0.01596157],"study_design_scores_gemma":[0.09917796,0.001210753,0.8447496,0.002880112,0.00498238,0.000399472,0.0001059433,0.0289926,0.005724567,0.002252602,0.009014677,0.0005093699],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834909,0.007899974,0.0004044249,0.002637131,0.003228237,0.001053563,0.0004545205,0.00001673244,0.0008144624],"genre_scores_gemma":[0.9879907,0.008516231,0.0007932942,0.0003352982,0.001890807,0.0002588481,0.000007488453,0.00001844575,0.0001888231],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06698027,"threshold_uncertainty_score":0.4651238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06142667784601338,"score_gpt":0.340982501764967,"score_spread":0.2795558239189536,"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."}}