{"id":"W2165697459","doi":"10.1371/journal.pone.0099978","title":"Comparing Benefits from Many Possible Computed Tomography Lung Cancer Screening Programs: Extrapolating from the National Lung Screening Trial Using Comparative Modeling","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"National Cancer Institute; National Center for Advancing Translational Sciences; Agency for Healthcare Research and Quality; Yale University; U.S. Department of Health and Human Services","keywords":"Lung cancer screening; National Lung Screening Trial; Medicine; Lung cancer; Cohort; Smoking cessation; Cancer screening; Cancer; Internal medicine; Pathology","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":[0.04243625,0.001522621,0.002486572,0.00114603,0.0003370977,0.001523725,0.002647015,0.0016151,0.003451335],"category_scores_gemma":[0.08415206,0.0006321059,0.004686863,0.001019467,0.0007761395,0.00159641,0.001933297,0.001970424,0.0002022015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003437524,"about_ca_system_score_gemma":0.003022168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0145807,"about_ca_topic_score_gemma":0.006906569,"domain_scores_codex":[0.9851887,0.01255174,0.0004249584,0.0007803177,0.0005128832,0.0005414962],"domain_scores_gemma":[0.9049205,0.08590387,0.003829628,0.003303364,0.001279537,0.0007631258],"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":[0.004808303,0.000514476,0.01827217,0.0003801157,0.002562295,0.0001278684,0.0001337679,0.9515836,0.0002173786,0.00824826,0.0007917337,0.01236008],"study_design_scores_gemma":[0.001641297,0.003648715,0.009299854,0.0002340933,0.002603941,0.00008039955,0.0001212209,0.9520435,0.000538813,0.0283515,0.001370064,0.00006667728],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8862614,0.004076629,0.08762658,0.003351556,0.0001485401,0.001278125,0.002243396,0.0001902151,0.01482352],"genre_scores_gemma":[0.9868133,0.0006260001,0.01012181,0.0005766472,0.00004295275,0.0005348678,0.0005825244,0.00001980954,0.0006821821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04243625,"threshold_uncertainty_score":0.224427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1996073906091181,"score_gpt":0.3413743070028593,"score_spread":0.1417669163937412,"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."}}