{"id":"W4319302341","doi":"10.7326/m22-2216","title":"Risk Model–Based Lung Cancer Screening","year":2023,"lang":"en","type":"article","venue":"Annals of Internal Medicine","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"National Cancer Institute; National Institutes of Health","keywords":"Medicine; Lung cancer screening; Cost effectiveness; Quality-adjusted life year; Lung cancer; Cohort; Risk assessment; Cohort study; Cancer screening; Cancer; 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":[0.006479592,0.001472243,0.001933323,0.00148636,0.0002244795,0.001617636,0.002027701,0.000995643,0.0105541],"category_scores_gemma":[0.01653155,0.0006423558,0.002811725,0.001026301,0.0004382106,0.001128463,0.001092287,0.001306637,0.0008892019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003213879,"about_ca_system_score_gemma":0.003696861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01901633,"about_ca_topic_score_gemma":0.01022774,"domain_scores_codex":[0.9942709,0.004305488,0.0001558197,0.0004187921,0.0006138176,0.0002351165],"domain_scores_gemma":[0.9913833,0.007160338,0.0005526033,0.000256557,0.0005020204,0.0001452273],"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":[0.0004955578,0.0002279394,0.003695736,0.0007016837,0.0008184958,0.00007592869,0.00002311581,0.9388829,0.0001300945,0.01690353,0.004265382,0.03377967],"study_design_scores_gemma":[0.0007520826,0.0006162347,0.001622,0.0003164715,0.0006811303,0.0001285645,0.0000228392,0.9478685,0.0002518575,0.03984648,0.007856854,0.0000368933],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1193577,0.02547068,0.7546312,0.01258216,0.0008117243,0.002657676,0.008035753,0.001949574,0.07450358],"genre_scores_gemma":[0.8818793,0.006505463,0.09764991,0.001413284,0.0003291803,0.001176311,0.003348554,0.0001716028,0.007526467],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01901633,"threshold_uncertainty_score":0.03781128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06781839115030878,"score_gpt":0.4129399971253594,"score_spread":0.3451216059750506,"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."}}