{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004173971,0.0006545194,0.00167428,0.0007587937,0.0003900254,0.001067227,0.001037515,0.0007640509,0.004147248],"category_scores_gemma":[0.01194896,0.0003401153,0.003088985,0.001731796,0.0005349011,0.0004813,0.0003638902,0.001517472,0.0001279335],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01241723,"about_ca_system_score_gemma":0.01393327,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5288885,"about_ca_topic_score_gemma":0.6533311,"domain_scores_codex":[0.997044,0.001448373,0.0001251358,0.0001478022,0.0007695023,0.0004652083],"domain_scores_gemma":[0.9927726,0.004927263,0.0008406986,0.0001912497,0.0007732756,0.000494869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.3217734,0.002038006,0.1415097,0.002425361,0.02305179,0.0008983299,0.0002169301,0.2546125,0.003179221,0.008548238,0.02073899,0.2210077],"study_design_scores_gemma":[0.03527371,0.01877156,0.7046167,0.0003695714,0.03816689,0.0006777689,0.000651616,0.1730277,0.003826691,0.005915421,0.0183759,0.0003264467],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9515375,0.01741942,0.001198586,0.004649304,0.0001159536,0.0003777311,0.01231794,0.00005910703,0.0123244],"genre_scores_gemma":[0.9961342,0.001222344,0.0002340293,0.0002303246,0.00003667117,0.00002678078,0.001461935,0.000005395068,0.0006483504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9875827,"threshold_uncertainty_score":0.947772,"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."}}