{"id":"W3137082731","doi":"10.1016/j.jtho.2021.01.118","title":"FP09.01 Economic Impact of Screening Selection with the PLCOm2012 Risk Model Versus USPSTF-Guidelines in the International Lung Screening Trial (ILST)","year":2021,"lang":"en","type":"article","venue":"Journal of Thoracic Oncology","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Brock University; Simon Fraser University","funders":"","keywords":"Medicine; Selection (genetic algorithm); Lung cancer screening; Lung cancer; Intensive care medicine; Oncology; Machine learning","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":[0.01242532,0.001214865,0.002229848,0.0004359914,0.0002557642,0.002299297,0.001224802,0.002979168,0.02833707],"category_scores_gemma":[0.02826517,0.0006791234,0.005308606,0.000493118,0.001009914,0.001964301,0.001128757,0.004016976,0.001595178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001836632,"about_ca_system_score_gemma":0.002708032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007076528,"about_ca_topic_score_gemma":0.003509513,"domain_scores_codex":[0.9910901,0.007538312,0.0001479705,0.0005867711,0.0002045919,0.0004323147],"domain_scores_gemma":[0.9837258,0.01340036,0.001025369,0.0007715856,0.0002608535,0.0008160317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.7837755,0.003125553,0.01446597,0.001848577,0.01189291,0.0002041926,0.00008407687,0.06234086,0.000451437,0.009150849,0.03424358,0.07841635],"study_design_scores_gemma":[0.5292779,0.05759294,0.03291141,0.00166327,0.03712276,0.0004794867,0.0003092089,0.2831017,0.001756291,0.03551034,0.01993926,0.0003355478],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8776867,0.01599712,0.01632948,0.0252179,0.004441015,0.002073341,0.01891151,0.001029922,0.03831303],"genre_scores_gemma":[0.9866938,0.0007566935,0.002325478,0.002131775,0.0005956525,0.0005638447,0.003034744,0.00008780858,0.003810321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02833707,"threshold_uncertainty_score":0.0947969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06724809098905883,"score_gpt":0.4707238408547896,"score_spread":0.4034757498657308,"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."}}