{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01233623,0.0001951905,0.0007697452,0.001745513,0.005671578,0.00008847498,0.0003286324,0.0002081575,0.001192531],"category_scores_gemma":[0.00005216212,0.0001985819,0.00008389681,0.003140396,0.00007658997,0.0002548537,0.0005795366,0.002340245,0.00009947427],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.005682734,"about_ca_system_score_gemma":0.006229853,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03990224,"about_ca_topic_score_gemma":0.04846649,"domain_scores_codex":[0.9839963,0.01097583,0.001310183,0.0008554677,0.0009075045,0.00195474],"domain_scores_gemma":[0.996562,0.001057378,0.0003041617,0.0005646631,0.0006585433,0.0008532467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009648845,0.00007958934,0.9611802,0.002496385,0.00004411673,0.000009567622,0.01509835,0.0007440352,3.310677e-7,0.01977254,0.00006549796,0.0004129621],"study_design_scores_gemma":[0.001378914,0.000363532,0.7295822,0.0001443668,0.000009386174,0.000005323107,0.1186722,0.1425709,7.897084e-8,0.0001648567,0.006914059,0.0001941193],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835591,0.00214402,0.00007253768,0.009234676,0.0002183092,0.002775355,0.0004019891,0.0001324055,0.001461573],"genre_scores_gemma":[0.9946761,0.0007626063,0.0008211634,0.0009632553,0.0001609699,0.001589785,0.0004402306,0.00004105314,0.0005448915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2315979,"threshold_uncertainty_score":0.9999614,"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."}}