{"id":"W2010515258","doi":"10.1016/j.jval.2011.02.459","title":"PMD19 COST-EFFECTIVENESS OF EPIDERMAL GROWTH FACTOR RECEPTOR GENE MUTATION TESTING IN THE SELECTION OF FIRST-LINE THERAPY FOR PATIENTS WITH ADVANCED NON-SMALL CELL LUNG CANCER IN ONTARIO","year":2011,"lang":"en","type":"article","venue":"Value in Health","topic":"Economic and Financial Impacts of Cancer","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Public Health; Ministry of Health and Long Term Care; Juravinski Cancer Centre; University of Toronto","funders":"","keywords":"Gefitinib; Medicine; Epidermal growth factor receptor; Oncology; Cost effectiveness; Lung cancer; Internal medicine; Mutation; Cost-effectiveness analysis; Gene mutation; Cancer; Gene; Biology; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008790587,0.000133074,0.0004600179,0.000230551,0.00003704686,0.00000547912,0.0001203265,0.0000729834,0.00002252731],"category_scores_gemma":[0.0001061483,0.0001231897,0.00003868627,0.0003029707,0.00002331879,0.0002133473,0.000008398893,0.0001574539,5.515495e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008148882,"about_ca_system_score_gemma":0.0002827121,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2577727,"about_ca_topic_score_gemma":0.06232012,"domain_scores_codex":[0.998603,0.00005644061,0.0007671365,0.0002636348,0.00002921583,0.0002805284],"domain_scores_gemma":[0.9987023,0.0003359857,0.0007297569,0.000109504,0.00008951146,0.00003293586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005658462,0.0003096918,0.9818285,0.0003110206,0.000007300279,1.456832e-7,0.00354701,0.01086045,0.00001379594,0.0002305461,0.000001475525,0.002324277],"study_design_scores_gemma":[0.003374265,0.0009628747,0.9889868,0.0002294973,0.00000136983,1.386923e-7,0.00003259666,0.004615576,0.0009520426,0.0006872935,0.00003045902,0.000127028],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952037,0.0004515563,0.001587867,0.00002861278,0.0001697482,0.002262134,0.0001392954,0.000003761591,0.0001533405],"genre_scores_gemma":[0.9971841,0.0002883546,0.002082388,0.0000510463,0.00001918098,0.0003343035,0.00001580283,0.00001997105,0.00000484583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1954525,"threshold_uncertainty_score":0.9547901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0712671127274582,"score_gpt":0.2685065873885998,"score_spread":0.1972394746611416,"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."}}