{"id":"W4280617886","doi":"10.1016/j.lungcan.2022.05.003","title":"Health utilities for participants in a population-based sample who meet eligibility criteria for lung cancer screening","year":2022,"lang":"en","type":"article","venue":"Lung Cancer","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Brock University; Simon Fraser University","funders":"","keywords":"Medicine; Lung cancer screening; Population; Lung cancer; Cohort; Demography; Metric (unit); Risk assessment; Quality-adjusted life year; Cost effectiveness; Environmental health; Internal medicine; Risk analysis (engineering)","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":[0.00101884,0.0003061891,0.0006662529,0.0006934752,0.0003263552,0.0006661742,0.0003418408,0.000479191,0.002280489],"category_scores_gemma":[0.004158123,0.0001657751,0.001262878,0.001136149,0.0001902952,0.0006892892,0.0005071544,0.0007363181,0.0002524114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004047932,"about_ca_system_score_gemma":0.0003117494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008694559,"about_ca_topic_score_gemma":0.007981113,"domain_scores_codex":[0.9994404,0.0002123259,0.0000589115,0.000107825,0.00008502515,0.00009555979],"domain_scores_gemma":[0.9991935,0.0002674712,0.0002719451,0.00007006014,0.0001030941,0.00009393269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001739858,0.0002925289,0.9912539,0.00005124799,0.000751088,0.00009395389,0.000165936,0.0004957791,0.0003291743,0.0001467306,0.0006879552,0.003991834],"study_design_scores_gemma":[0.00007134308,0.0003205878,0.9970543,0.000006662693,0.0001986907,0.0001271662,0.0003438393,0.001373951,0.00006332448,0.0001522488,0.0002769674,0.00001083607],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967501,0.00008694835,0.0002070757,0.00003467008,0.00000839605,0.00003820774,0.002380682,0.000005709621,0.0004882922],"genre_scores_gemma":[0.9972278,0.00002816815,0.0001151734,0.00003481916,0.000005110182,0.00004893716,0.00215269,0.000001612606,0.0003856805],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008694559,"threshold_uncertainty_score":0.01728791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06972541836701968,"score_gpt":0.457082574985871,"score_spread":0.3873571566188513,"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."}}