{"id":"W3183089822","doi":"10.1093/jnci/djab138","title":"Development and Validation of a Risk Prediction Model for Second Primary Lung Cancer","year":2021,"lang":"en","type":"article","venue":"JNCI Journal of the National Cancer Institute","topic":"Multiple and Secondary Primary Cancers","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sinai Health System; Lunenfeld-Tanenbaum Research Institute; Brock University","funders":"National Cancer Institute; National Institutes of Health","keywords":"Medicine; Brier score; Quartile; Internal medicine; Confidence interval; Receiver operating characteristic; Oncology; Lung cancer; Population; Proportional hazards model; Cohort; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0115433,0.001150963,0.001426147,0.001906798,0.0005752197,0.001533306,0.001372074,0.0009730087,0.001516679],"category_scores_gemma":[0.02012956,0.0004483714,0.001630652,0.0007707935,0.0003542499,0.0005731045,0.000903331,0.001578631,0.0005259968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001241822,"about_ca_system_score_gemma":0.002582534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01417953,"about_ca_topic_score_gemma":0.005874774,"domain_scores_codex":[0.9977542,0.001253397,0.0001670025,0.0004174531,0.0002566564,0.0001513116],"domain_scores_gemma":[0.986564,0.01033054,0.0007479441,0.0003442441,0.001747304,0.0002658789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001440822,0.0009751104,0.3985713,0.000151826,0.0009090493,0.0004074632,0.0002111832,0.4762747,0.00125621,0.001692793,0.004196714,0.1139129],"study_design_scores_gemma":[0.00006590983,0.0001623755,0.01204825,0.00002643464,0.00008526364,0.00007164577,0.00002124506,0.9861279,0.0002708743,0.0008218542,0.0002837904,0.0000145017],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7328099,0.0007562728,0.258495,0.001367955,0.0001443525,0.0008149603,0.002496031,0.001147644,0.00196787],"genre_scores_gemma":[0.9423239,0.0001778705,0.05415033,0.0001614434,0.00005264465,0.0004710803,0.002079475,0.0000381407,0.0005450112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01417953,"threshold_uncertainty_score":0.06104755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05132450612951987,"score_gpt":0.3293561321618461,"score_spread":0.2780316260323262,"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."}}