{"id":"W2015952706","doi":"10.1258/0951484041485601","title":"Using routinely recorded ethnicity: analysis of waiting times for elective admissions by ethnic group","year":2004,"lang":"en","type":"article","venue":"Health Services Management Research","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kensington Health","funders":"","keywords":"Ethnic group; Medicine; White British; White (mutation); Demography","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":[0.003098925,0.000283579,0.0002965194,0.001027701,0.0002953029,0.0004592315,0.0005039604,0.0003595194,0.001888165],"category_scores_gemma":[0.01596725,0.0002406085,0.0006757575,0.001452075,0.0002946451,0.0005401482,0.0005706455,0.0005041271,0.0003270959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006920422,"about_ca_system_score_gemma":0.001091163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008531466,"about_ca_topic_score_gemma":0.008585749,"domain_scores_codex":[0.9977435,0.001183984,0.0002480598,0.0002589213,0.0003413367,0.0002241303],"domain_scores_gemma":[0.9863183,0.00433824,0.007381964,0.0007193668,0.0005751132,0.0006670406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005996695,0.00004467705,0.996012,0.00002304874,0.00008778673,0.00003437489,0.0001289215,0.0002988,0.0001782728,0.00003755066,0.0001065669,0.00244828],"study_design_scores_gemma":[0.00003163786,0.0006343881,0.9943414,0.0000126186,0.00007609952,0.0001407264,0.0003688951,0.0036845,0.000330525,0.00009723546,0.0002675538,0.00001449721],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988356,0.00004704187,0.0005195743,0.00004580841,0.000005190914,0.00001309727,0.0003783909,0.000005463771,0.000149774],"genre_scores_gemma":[0.9983044,0.00003354725,0.0007396037,0.00002280729,0.00001436932,0.0000386784,0.0006799758,0.000005193287,0.0001613439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008531466,"threshold_uncertainty_score":0.0169636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3319296645310171,"score_gpt":0.590892028585275,"score_spread":0.2589623640542579,"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."}}