{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092667,0.0001990908,0.0004498499,0.0003484928,0.0004862155,0.000874974,0.0006890427,0.0004544591,0.002002441],"category_scores_gemma":[0.007161541,0.0002218424,0.0008909234,0.0008355755,0.0004427069,0.0003761334,0.0005730707,0.0004753552,0.00009705422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02993469,"about_ca_system_score_gemma":0.01484973,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8674976,"about_ca_topic_score_gemma":0.9006243,"domain_scores_codex":[0.99899,0.0003297168,0.00007866071,0.0001017169,0.0002276173,0.0002722867],"domain_scores_gemma":[0.9964593,0.001083727,0.0009380576,0.00008194624,0.000419215,0.001017783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01185931,0.0004506639,0.8997672,0.000288526,0.000589497,0.000561911,0.000409565,0.01928325,0.0008075954,0.001219351,0.005924138,0.05883903],"study_design_scores_gemma":[0.000981398,0.0009268073,0.9822203,0.00005599281,0.0003490592,0.0001971885,0.0003965936,0.01264526,0.0002355271,0.0002925892,0.001674296,0.00002507776],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923225,0.0009225758,0.0001151761,0.001691227,0.00002132822,0.00005125849,0.00173664,0.000007800173,0.003131581],"genre_scores_gemma":[0.998974,0.0001876643,0.00005981973,0.00005844605,0.00001096307,0.000008631092,0.0003505445,0.000001766362,0.0003481531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1325024,"threshold_uncertainty_score":0.2665655,"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."}}