{"id":"W2475355276","doi":"10.1016/j.cllc.2016.06.009","title":"A Cost-Effectiveness Analysis of Using the JBR.10-Based 15-Gene Expression Signature to Guide Adjuvant Chemotherapy in Early Stage Non–Small-Cell Lung Cancer","year":2016,"lang":"en","type":"article","venue":"Clinical Lung Cancer","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; Ontario Institute for Cancer Research","funders":"National Cancer Institute; Canadian Centre for Applied Research in Cancer Control","keywords":"Medicine; Gene signature; Oncology; Lung cancer; Stage (stratigraphy); Confidence interval; Incremental cost-effectiveness ratio; Internal medicine; Quality-adjusted life year; Clinical trial; Cancer; Cost effectiveness; Gene expression; Gene; Risk analysis (engineering)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009076836,0.0003454071,0.001194539,0.0002399312,0.00007096242,0.00001937335,0.0002582012,0.0002748902,0.001102419],"category_scores_gemma":[0.0001251341,0.0001855799,0.0005627546,0.0009970983,0.0001195292,0.00006500062,0.00007587985,0.0002768839,0.000003148896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001493903,"about_ca_system_score_gemma":0.0008430654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002721925,"about_ca_topic_score_gemma":0.001608742,"domain_scores_codex":[0.9971046,0.0003022614,0.0008909405,0.0008009556,0.0004392821,0.0004619853],"domain_scores_gemma":[0.9969254,0.001259339,0.0003799169,0.0008342007,0.0003211412,0.0002799908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002314669,0.0007137991,0.9496455,0.0002611065,0.001379396,0.0000325991,0.0002607743,0.005934653,0.03070788,0.000001668822,0.001917057,0.006830933],"study_design_scores_gemma":[0.01094228,0.0003961739,0.8221022,0.003601153,0.003822019,2.653719e-7,0.00003145647,0.007456328,0.1487709,0.000001769657,0.002533715,0.0003416464],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986595,0.004968659,0.00296888,0.001742498,0.0004048545,0.002887242,0.0003071445,0.00002574208,0.00009995357],"genre_scores_gemma":[0.9935668,0.001347411,0.0006350061,0.001836253,0.0002859256,0.001312995,0.00001574886,0.0000587033,0.0009411426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1275432,"threshold_uncertainty_score":0.9998107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05195019378897891,"score_gpt":0.4344209012641965,"score_spread":0.3824707074752176,"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."}}