{"id":"W4225114043","doi":"10.1186/s12913-022-07976-6","title":"Surgical wait times and socioeconomic status in a public healthcare system: a retrospective analysis","year":2022,"lang":"en","type":"article","venue":"BMC Health Services Research","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Medical Association; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Medicine; Socioeconomic status; Public health; Health care; Health administration; Rurality; Health informatics; Social deprivation; Demography; Family medicine; Environmental health; Population; Nursing; Rural area","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.001125148,0.0002207042,0.000337669,0.001547487,0.0008633141,0.0008577422,0.0005721734,0.0003254029,0.001101521],"category_scores_gemma":[0.003650646,0.000426775,0.00064217,0.00421964,0.0004988254,0.0006721686,0.0008344249,0.0005603344,0.0001479167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003342853,"about_ca_system_score_gemma":0.003745771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2287489,"about_ca_topic_score_gemma":0.2209642,"domain_scores_codex":[0.998629,0.0001763138,0.0002350356,0.0002389218,0.0003644664,0.0003563364],"domain_scores_gemma":[0.9952851,0.0005703717,0.002694749,0.0003098637,0.0005450865,0.0005948794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001846971,0.00000774049,0.9995552,0.000006398478,0.00001845508,0.00002365879,0.00007865907,0.00001572478,0.00001592486,0.000007289723,0.00006397207,0.0001884252],"study_design_scores_gemma":[0.000002289094,0.00002876919,0.9991878,0.00000921681,0.00001635974,0.00007371041,0.0004235911,0.0001294708,0.0000148179,0.000007419318,0.0001037541,0.000002898232],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985084,0.000126938,0.00004887595,0.00004036609,0.000002031895,0.00001250495,0.001048586,0.00000234819,0.0002099992],"genre_scores_gemma":[0.9992275,0.00006847962,0.00003122014,0.00001592942,0.00000272617,0.0000106556,0.0006120969,0.000001191889,0.00003009245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2287489,"threshold_uncertainty_score":0.4548349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09236223516536088,"score_gpt":0.4757641007089349,"score_spread":0.383401865543574,"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."}}