{"id":"W2033845558","doi":"10.1016/s1098-3015(10)63441-9","title":"PCN11 PHARMACOECONOMIC ANALYSES OF ERLOTINIB COMPARED WITH BEST SUPPORTIVE CARE (BSC) FOR THE TREATMENT OF RELAPSED NON-SMALL CELL LUNG CANCER (NSCLC) FROM THE CANADIAN PUBLIC HEALTH CARE PERSPECTIVE","year":2006,"lang":"en","type":"article","venue":"Value in Health","topic":"Economic and Financial Impacts of Cancer","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Erlotinib; Medicine; Lung cancer; Perspective (graphical); Health care; Public health; Public health care; Intensive care medicine; Oncology; Internal medicine; Cancer; Nursing; Health policy; Political science; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003917812,0.0002826549,0.0009894085,0.0002618261,0.000365498,0.0000506352,0.0003528645,0.00008897426,0.00007247864],"category_scores_gemma":[0.00001929856,0.0002185095,0.0002096008,0.000267159,0.0001667586,0.0001337661,0.00001513167,0.0001580258,0.000005108724],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005626516,"about_ca_system_score_gemma":0.0044561,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9743268,"about_ca_topic_score_gemma":0.8556154,"domain_scores_codex":[0.9974934,0.0000637369,0.001187146,0.0005160213,0.00004383576,0.0006958],"domain_scores_gemma":[0.9973837,0.0003323172,0.001424567,0.0004442707,0.0001953206,0.0002198359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004440591,0.0005753461,0.7957028,0.0006028342,0.0006096748,0.00000277864,0.1196127,0.05958086,0.000006214971,0.01604297,0.003076013,0.003743766],"study_design_scores_gemma":[0.02241607,0.005353615,0.7357339,0.0006655865,0.0003153779,0.000002567932,0.1209413,0.02936456,0.001135727,0.001988825,0.08036806,0.001714466],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8553072,0.1211371,0.0002898533,0.007757058,0.0004826751,0.00303902,0.009253654,0.00001142492,0.002722022],"genre_scores_gemma":[0.9946687,0.003658011,0.0003678171,0.0005286013,0.0002452787,0.0002663247,0.0001398118,0.00004558386,0.00007992061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1393615,"threshold_uncertainty_score":0.9981907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09596028306643296,"score_gpt":0.3300170494965055,"score_spread":0.2340567664300726,"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."}}