{"id":"W4224995261","doi":"10.1177/08465371221089899","title":"Efficacy of Risk Prediction Models and Thresholds to Select Patients for Lung Cancer Screening","year":2022,"lang":"en","type":"article","venue":"Canadian Association of Radiologists Journal","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Canadian Partnership Against Cancer; Dalhousie University; Memorial University of Newfoundland","funders":"","keywords":"Medicine; Lung cancer; Lung cancer screening; Population; Risk assessment; Cancer; Internal medicine; COPD; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.04182877,0.001824399,0.001567376,0.001765586,0.0008610294,0.003266086,0.001939865,0.001422712,0.002168033],"category_scores_gemma":[0.1218725,0.0006660974,0.003109492,0.001083803,0.0008345951,0.00224682,0.002035391,0.002119729,0.0005015105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004250983,"about_ca_system_score_gemma":0.005717728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06687004,"about_ca_topic_score_gemma":0.04315027,"domain_scores_codex":[0.9757991,0.01508002,0.001524443,0.002565933,0.003596699,0.001433784],"domain_scores_gemma":[0.9291474,0.05628114,0.004996223,0.003401408,0.004629265,0.001544635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003815253,0.0007915018,0.6624302,0.0003138418,0.002013206,0.0002123931,0.0006316665,0.2536641,0.0004883601,0.003591395,0.004555519,0.06749256],"study_design_scores_gemma":[0.0004369068,0.001536713,0.1206445,0.0005180367,0.001244422,0.0003280276,0.0007346108,0.8574309,0.001833058,0.01155453,0.003530693,0.0002075316],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9297478,0.002820943,0.04828174,0.004904563,0.0002625858,0.0007692509,0.002130046,0.0003948521,0.01068829],"genre_scores_gemma":[0.9876544,0.0002803114,0.009972234,0.0003696817,0.00002977309,0.0001159797,0.001037855,0.0000396122,0.0005000991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06687004,"threshold_uncertainty_score":0.2212143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01607381752320914,"score_gpt":0.2849584840352341,"score_spread":0.268884666512025,"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."}}