{"id":"W2151527082","doi":"10.1111/rssa.12161","title":"Healthcare Facility Choice and User Fee Abolition: Regression Discontinuity in a Multinomial Choice Setting","year":2016,"lang":"en","type":"article","venue":"Journal of the Royal Statistical Society Series A (Statistics in Society)","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Center for High Performance Computing","keywords":"Multinomial logistic regression; Regression discontinuity design; Multinomial distribution; Health care; Regression; Discontinuity (linguistics); Econometrics; Computer science; Economics; Statistics; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001652786,0.0002391131,0.0006244031,0.00003653608,0.0002513101,0.0000866179,0.0003000411,0.0001996395,0.00008933879],"category_scores_gemma":[0.00186296,0.0001679521,0.0002153192,0.0002193001,0.0003867782,0.0002527609,0.0002502672,0.0006488482,0.000006485668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006733961,"about_ca_system_score_gemma":0.0001109214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003122702,"about_ca_topic_score_gemma":0.002199008,"domain_scores_codex":[0.9973025,0.0001683701,0.001411785,0.0003662471,0.0001788075,0.0005723361],"domain_scores_gemma":[0.9974552,0.001180829,0.0007991305,0.0002454038,0.0001068453,0.0002125401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001092848,0.0002574751,0.5655382,0.0008548747,0.0001260286,0.00001663682,0.004853796,0.00007558044,0.00001120863,0.3688152,0.03606876,0.02327292],"study_design_scores_gemma":[0.002455093,0.0001512529,0.8300024,0.0003779481,0.0000179942,0.000007341178,0.001051503,0.001680462,0.000007861825,0.0615006,0.1023863,0.000361157],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4571137,0.003889274,0.3842882,0.1310018,0.002989963,0.001898411,0.01796217,0.00006179876,0.000794731],"genre_scores_gemma":[0.9443805,0.00109733,0.05134609,0.001680624,0.0004092658,0.00002311841,0.00001212424,0.00002834691,0.001022634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4872668,"threshold_uncertainty_score":0.6848887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02787460129028851,"score_gpt":0.2896143363312332,"score_spread":0.2617397350409447,"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."}}