{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004021771,0.0009344037,0.0009503016,0.001226845,0.0003319463,0.001316081,0.0008791211,0.0006331315,0.001317401],"category_scores_gemma":[0.008384833,0.0004278111,0.001078336,0.000414767,0.0002341724,0.0004429815,0.0006018953,0.000821594,0.0002598733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001370094,"about_ca_system_score_gemma":0.002282486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02260096,"about_ca_topic_score_gemma":0.01124984,"domain_scores_codex":[0.9990978,0.0004696189,0.00006179424,0.0001857996,0.00009921851,0.00008575435],"domain_scores_gemma":[0.9942265,0.004356992,0.0005295215,0.0001510216,0.000606538,0.0001293179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0002716419,0.0002161826,0.05624361,0.00004168621,0.0003013899,0.0001195916,0.00003077955,0.9223152,0.0003203662,0.0008156761,0.0009711325,0.01835267],"study_design_scores_gemma":[0.00001508554,0.00004253929,0.001634217,0.000006727837,0.00002814712,0.00001839037,0.000005029949,0.9976598,0.00007111691,0.0004320457,0.00008154814,0.000005440871],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6195312,0.000794219,0.3715303,0.001370364,0.00009117657,0.0003495704,0.002032749,0.0013376,0.002962769],"genre_scores_gemma":[0.9714405,0.0001331829,0.02616584,0.0001130311,0.00003553243,0.0001671546,0.001139728,0.00002872054,0.000776206],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02260096,"threshold_uncertainty_score":0.0449388,"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."}}