{"id":"W4408219747","doi":"10.3390/curroncol32030151","title":"Real-World Treatment Patterns, Healthcare Resource Utilization, and Healthcare Costs in the First-Line Treatment of Metastatic Non-Small Cell Lung Cancer in the US","year":2025,"lang":"en","type":"article","venue":"Current Oncology","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Amgen","keywords":"Medicine; Health care; Lung cancer; Intensive care medicine; Resource (disambiguation); Cancer; Cancer treatment; Oncology; Internal medicine; Computer science; Economic growth","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0007858236,0.000241652,0.0003687782,0.00114327,0.000303736,0.0008564118,0.0004313668,0.0005705914,0.0006941576],"category_scores_gemma":[0.00343371,0.0002741191,0.0006773353,0.002658276,0.0002665991,0.0006722612,0.0005802859,0.0006060583,0.0001319789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001622567,"about_ca_system_score_gemma":0.0008332577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04045335,"about_ca_topic_score_gemma":0.04885967,"domain_scores_codex":[0.9988657,0.0003577512,0.0002345883,0.0001957647,0.0001967788,0.0001493321],"domain_scores_gemma":[0.996343,0.000422226,0.002650443,0.0001092083,0.0001969755,0.0002782049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005936881,0.00003758762,0.9986804,0.0000103918,0.00007182598,0.0000307425,0.00002745473,0.0001807071,0.00002922139,0.00001592583,0.0002002622,0.0006561023],"study_design_scores_gemma":[0.000006528629,0.00004957239,0.9986758,0.0000111132,0.00001921909,0.0001532181,0.0001471612,0.0006680444,0.00002759672,0.0000204514,0.0002161418,0.000005168316],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964103,0.0004667643,0.00007029527,0.0001359457,0.000005229162,0.00001112725,0.002674485,0.000003642371,0.0002222809],"genre_scores_gemma":[0.9969709,0.0002287525,0.00008845972,0.00007713756,0.000009765101,0.00001579427,0.002559098,0.00000195199,0.00004814956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04045335,"threshold_uncertainty_score":0.08043575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09417792613514225,"score_gpt":0.4704176026045945,"score_spread":0.3762396764694522,"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."}}