{"id":"W4413105994","doi":"10.1093/noajnl/vdaf123.109","title":"RMTD-03 SOCIOECONOMIC DISPARITIES IN CLINICAL TRIAL ENROLLMENT AMONG PATIENTS WITH BRAIN METASTASES: A CENTRAL PENNSYLVANIA CROSS-SECTIONAL ANALYSIS IN NEIGHBORHOOD-DISADVANTAGE METRICS","year":2025,"lang":"en","type":"article","venue":"Neuro-Oncology Advances","topic":"Economic and Financial Impacts of Cancer","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Socioeconomic status; Cohort; Demography; Lung cancer; Internal medicine; Breast cancer; Subgroup analysis; Propensity score matching; Health equity; Decile; Cancer; Gerontology; Population; Public health; Confidence interval; Environmental health; Pathology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0008147377,0.0001037282,0.0002437787,0.0004689206,0.0003356428,0.0004650153,0.0002742684,0.0002804903,0.001933941],"category_scores_gemma":[0.003159495,0.000167245,0.0003114913,0.0009081599,0.0001177839,0.0003068568,0.0005886491,0.0004840934,0.0002369428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003555172,"about_ca_system_score_gemma":0.0004429095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01145677,"about_ca_topic_score_gemma":0.01321298,"domain_scores_codex":[0.9994716,0.0001998008,0.00006048345,0.0001208231,0.00008417966,0.00006301051],"domain_scores_gemma":[0.9973174,0.0006898172,0.001148898,0.0001854438,0.0002854596,0.0003729011],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001952963,0.00005400834,0.9978138,0.00001034915,0.00006779359,0.00001420138,0.00004357969,0.0000370204,0.00006807808,0.00002150179,0.0004844673,0.001189922],"study_design_scores_gemma":[0.000024857,0.0001173521,0.9990032,0.000006275611,0.00003917121,0.00003963688,0.00008756944,0.0003297403,0.00004720234,0.00001569405,0.0002871733,0.000002159368],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975032,0.0001028079,0.00007656682,0.0001080256,0.000002959009,0.00001618903,0.001765669,0.00000351883,0.0004210567],"genre_scores_gemma":[0.9985593,0.00004374592,0.00009130267,0.00007357922,0.000009341203,0.0000337645,0.001030669,0.000002231437,0.0001561255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9991853,"threshold_uncertainty_score":0.02278018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02134043062574332,"score_gpt":0.3257997190558735,"score_spread":0.3044592884301301,"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."}}