{"id":"W4413824545","doi":"10.36469/001c.142771","title":"Healthcare Resource Use, Healthcare Costs, and Unmet Needs Among Patients Treated for EGFR-Mutated Advanced or Metastatic Non-small Cell Lung Cancer","year":2025,"lang":"en","type":"article","venue":"Journal of health economics and outcomes research","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Group for Research in Decision Analysis","funders":"","keywords":"Osimertinib; Medicine; Lung cancer; Oncology; Internal medicine; non-small cell lung cancer (NSCLC); Immunotherapy; Chemotherapy; Health care; Epidermal growth factor receptor; Cancer; Erlotinib","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0004062723,0.0002105183,0.0003114829,0.001464111,0.0002919159,0.000753084,0.0003599883,0.0003782038,0.002328701],"category_scores_gemma":[0.002349085,0.0001598749,0.0006648831,0.003308194,0.00016945,0.0007195614,0.0004886278,0.000363215,0.000259641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009722091,"about_ca_system_score_gemma":0.0005071457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01767327,"about_ca_topic_score_gemma":0.01781314,"domain_scores_codex":[0.9992923,0.0001899924,0.0001754612,0.0001197348,0.0001072074,0.0001152843],"domain_scores_gemma":[0.9983079,0.0003571199,0.0009952397,0.00003710442,0.0001032429,0.0001992474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001389969,0.00005987694,0.9974777,0.00002530347,0.00009152346,0.0000534359,0.0000484466,0.0003198964,0.00002979044,0.00004280738,0.0003976265,0.001314597],"study_design_scores_gemma":[0.00001649617,0.00009860317,0.9975255,0.00002212671,0.00003890961,0.0001566491,0.0003214166,0.001249568,0.00004070493,0.00006077378,0.0004617023,0.000007555485],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916304,0.0003546676,0.00004220038,0.0001064183,0.000002848796,0.00001878963,0.007261262,0.000003137518,0.0005803206],"genre_scores_gemma":[0.9944614,0.0002758794,0.00008389766,0.00006187176,0.00001033115,0.00004709299,0.004897209,0.000001553669,0.0001608579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01767327,"threshold_uncertainty_score":0.03514081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0543748553438399,"score_gpt":0.444466954937541,"score_spread":0.3900920995937011,"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."}}