{"id":"W4411246481","doi":"10.3390/curroncol32060346","title":"Cost Disparities with Age in the Treatment of Advanced Non-Small-Cell Lung Cancer (NSCLC) in Ontario, Canada","year":2025,"lang":"en","type":"article","venue":"Current Oncology","topic":"Economic and Financial Impacts of Cancer","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Clinical Oncology Group; McMaster University; Juravinski Hospital; Juravinski Cancer Centre; Impact; University of British Columbia","funders":"Canadian Institutes of Health Research; Government of Ontario; Cancer Care Ontario","keywords":"Medicine; Lung cancer; Oncology; Internal medicine; Cancer; Intensive care medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.0005640252,0.0002104424,0.000364947,0.0008595974,0.00176129,0.0009215491,0.0008242634,0.0003052765,0.001745816],"category_scores_gemma":[0.002775462,0.0002277024,0.0005957008,0.003273085,0.0004710583,0.0004244197,0.0007124392,0.000580672,0.0001002409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03151587,"about_ca_system_score_gemma":0.02540729,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9949489,"about_ca_topic_score_gemma":0.9968584,"domain_scores_codex":[0.9991449,0.00007783989,0.00007914068,0.000114613,0.0002706744,0.0003128475],"domain_scores_gemma":[0.9976265,0.000154303,0.0009175811,0.00005851636,0.0007912292,0.0004519084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003973452,0.00001354222,0.9954673,0.00002645192,0.00004145689,0.00006229628,0.0003422287,0.0001394549,0.00004489738,0.0001077001,0.0009735275,0.002741342],"study_design_scores_gemma":[0.000004504355,0.000006514285,0.998803,0.00002324168,0.0000184672,0.00003496314,0.0003572081,0.0002196163,0.00001317322,0.0000261946,0.0004877672,0.000005182573],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906408,0.001737958,0.00009949561,0.001208205,0.00002129151,0.00003575375,0.004058215,0.000005731657,0.002192646],"genre_scores_gemma":[0.9977754,0.0006722579,0.00007292663,0.0001166496,0.000008792912,0.000009071769,0.0009123848,0.000002423501,0.0004300832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03151587,"threshold_uncertainty_score":0.2286648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05537250759931057,"score_gpt":0.3054498534151158,"score_spread":0.2500773458158052,"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."}}