{"id":"W3143019137","doi":"10.1007/s40273-021-01022-9","title":"Cost-Effectiveness Analysis of Afatinib, Erlotinib, and Gefitinib as First-Line Treatments for EGFR Mutation-Positive Non-Small-Cell Lung Cancer in Ontario, Canada","year":2021,"lang":"en","type":"article","venue":"PharmacoEconomics","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Afatinib; Erlotinib; Gefitinib; Medicine; Lung cancer; Cost effectiveness; Internal medicine; Oncology; Epidermal growth factor receptor; Cancer registry; Cancer; Risk analysis (engineering)","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":[0.00008545346,0.0001961259,0.0005612925,0.0001502254,0.00007878015,0.00001657774,0.00004148291,0.00004656904,0.0004195982],"category_scores_gemma":[0.00001523661,0.0002017767,0.0001230344,0.0002267595,0.00002324823,0.00007826841,0.00002264243,0.00009362863,6.016261e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002032038,"about_ca_system_score_gemma":0.002681793,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8534752,"about_ca_topic_score_gemma":0.9741099,"domain_scores_codex":[0.9989262,0.00003032373,0.0003712012,0.0003773495,0.00006994815,0.0002249335],"domain_scores_gemma":[0.9989504,0.0004028514,0.0001801209,0.0001344185,0.0001901339,0.000142062],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009875201,0.0009461915,0.926221,0.0004146727,0.01341239,0.0001716773,0.00388457,0.04401021,0.001409255,0.00005959345,0.0002286629,0.00825422],"study_design_scores_gemma":[0.02516693,0.0002810338,0.8290805,0.000220988,0.02311344,0.00001808985,0.0007068783,0.04291784,0.07668293,0.00003194599,0.001365895,0.0004135556],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945074,0.0006695352,0.0002444179,0.0003580996,0.000214057,0.001742283,0.001219603,0.000006965411,0.001037606],"genre_scores_gemma":[0.9958306,0.0003273396,0.0004428882,0.0004676163,0.00003529758,0.00094114,0.001008003,0.00002586318,0.0009212574],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1206347,"threshold_uncertainty_score":0.8228214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02551468580382145,"score_gpt":0.3674319987869127,"score_spread":0.3419173129830913,"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."}}