{"id":"W1846288647","doi":"10.3386/w10445","title":"Access to Care, Provider Choice and Racial Disparities","year":2004,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Toronto","funders":"National Institute on Aging","keywords":"Business; Internet privacy; Computer science","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":[0.0006535125,0.00009473469,0.0001774825,0.0005745906,0.0006414562,0.0006005247,0.0002053865,0.0003436223,0.004513781],"category_scores_gemma":[0.002989372,0.0001058735,0.0002281708,0.0007432292,0.0006364307,0.0003866087,0.0006345535,0.0003524712,0.0001202017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004995429,"about_ca_system_score_gemma":0.0005419484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04034774,"about_ca_topic_score_gemma":0.06920254,"domain_scores_codex":[0.9995733,0.0001231728,0.00001658063,0.00006501127,0.00007245832,0.0001495551],"domain_scores_gemma":[0.9985169,0.0004322716,0.000658379,0.00009050756,0.00006626609,0.0002356944],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000662241,0.00008850868,0.9912552,0.00001241924,0.00003998979,0.00002788738,0.0004008295,0.0002568311,0.000170793,0.003170676,0.0002564043,0.004254257],"study_design_scores_gemma":[0.000009283267,0.00003274798,0.9957144,0.00002121915,0.00002148833,0.00004584312,0.0008992783,0.0005427494,0.00007920097,0.001671684,0.0009581604,0.000004098855],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958873,0.0003097312,0.0001485377,0.0006264393,0.000004736431,0.000005397487,0.0002289539,0.000001270045,0.002787471],"genre_scores_gemma":[0.9993278,0.0001415393,0.0001119399,0.00005245911,0.00000716106,0.000003684926,0.00007807228,9.358904e-7,0.000276513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04034774,"threshold_uncertainty_score":0.08022583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5483743128989818,"score_gpt":0.650164585670251,"score_spread":0.1017902727712693,"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."}}