{"id":"W4387930873","doi":"10.1002/cncr.35069","title":"Risk model‐based management for second primary lung cancer among lung cancer survivors through a validated risk prediction model","year":2023,"lang":"en","type":"article","venue":"Cancer","topic":"Multiple and Secondary Primary Cancers","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Brock University","funders":"Stanford Cancer Institute; Pharmacyclics; National Cancer Institute; Natera; Calithera Biosciences; Daiichi Sankyo Europe; Exelixis; National Institutes of Health; ECOG-ACRIN Cancer Research Group; Helsinn; Clovis Oncology; American College of Radiology Imaging Network; Gilead Sciences; Jounce Therapeutics; Celgene; AstraZeneca; Eli Lilly and Company; Regeneron Pharmaceuticals; International Association for the Study of Lung Cancer; Amgen","keywords":"Medicine; Lung cancer; Internal medicine; Oncology; Cohort; Receiver operating characteristic; Retrospective cohort study; Cancer; Population","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00049143,0.0005584898,0.0007839317,0.0002985832,0.0004504478,0.00005841893,0.0002789963,0.0002964846,0.001353933],"category_scores_gemma":[0.00002566989,0.0005339512,0.0003864139,0.0007677923,0.0001540428,0.0005315174,0.0001122841,0.000579196,0.000006090183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002339263,"about_ca_system_score_gemma":0.001205252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006117912,"about_ca_topic_score_gemma":0.005535142,"domain_scores_codex":[0.9964456,0.00009081707,0.0007342966,0.001127494,0.0006285737,0.0009732263],"domain_scores_gemma":[0.9980913,0.0001143818,0.0004508425,0.0007498083,0.0002935193,0.000300123],"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":[0.001223389,0.00007941079,0.1499504,0.002555141,0.001453607,0.00001663894,0.001577321,0.7362115,0.001051158,0.0000233367,0.09415083,0.01170723],"study_design_scores_gemma":[0.005862813,0.00006011856,0.03329618,0.000560155,0.001949177,6.033539e-7,0.00009922135,0.9486244,0.002483977,0.0001009298,0.006425817,0.0005366632],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9129331,0.006005669,0.05575291,0.0006114531,0.001866691,0.004453271,0.01268279,0.0007487384,0.004945361],"genre_scores_gemma":[0.8921255,0.04213192,0.00565093,0.005895336,0.001408695,0.01750241,0.00275061,0.0004969802,0.03203764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2124129,"threshold_uncertainty_score":0.9997112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02488170443761159,"score_gpt":0.312851129294527,"score_spread":0.2879694248569154,"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."}}