{"id":"W2807835500","doi":"10.21037/tlcr.2018.06.03","title":"Selecting lung cancer screenees using risk prediction models—where do we go from here","year":2018,"lang":"en","type":"review","venue":"Translational Lung Cancer Research","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"","keywords":"Medicine; Lung cancer; National Lung Screening Trial; Lung cancer screening; Medicaid; Interim; Risk assessment; Cancer; Incidence (geometry); Internal medicine; Emergency medicine; Health care","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":[0.03089385,0.001649098,0.00404517,0.003760003,0.001113213,0.01069607,0.003745462,0.00773515,0.02305517],"category_scores_gemma":[0.1495343,0.0008109014,0.002993314,0.002664007,0.001693116,0.01412739,0.003037048,0.0103414,0.009008288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003106781,"about_ca_system_score_gemma":0.008021455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01748126,"about_ca_topic_score_gemma":0.02492341,"domain_scores_codex":[0.9814208,0.01472729,0.001123058,0.001055126,0.00118755,0.0004862788],"domain_scores_gemma":[0.8816995,0.09010434,0.003671224,0.002227801,0.01794926,0.004347743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007278261,0.0004231908,0.01668896,0.005847693,0.001092229,0.0002059388,0.0004624306,0.002122972,0.00007905411,0.01140746,0.4004163,0.5605258],"study_design_scores_gemma":[0.003781981,0.001324609,0.02304213,0.1559395,0.003740544,0.0006862299,0.006303214,0.04613255,0.0005452421,0.261547,0.4957043,0.001252746],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.003422396,0.2120564,0.01798846,0.7376426,0.01319462,0.000785296,0.002705093,0.0007403262,0.01146478],"genre_scores_gemma":[0.1119717,0.3982009,0.08225217,0.3298506,0.05978462,0.003873547,0.003816404,0.001097418,0.009152589],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.03089385,"threshold_uncertainty_score":0.1633843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1663947614334943,"score_gpt":0.4854986603865147,"score_spread":0.3191038989530204,"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."}}