{"id":"W1997006288","doi":"10.1542/peds.2013-3518","title":"Socioeconomic Status and Wait Times for Pediatric Surgery in Canada","year":2014,"lang":"en","type":"article","venue":"PEDIATRICS","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Medicine; Referral; Socioeconomic status; Social deprivation; Odds ratio; Odds; Health care; Family medicine; Pediatrics; Demography; Emergency medicine; Gerontology; Logistic regression; Environmental health; Population; Internal medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.000871563,0.00009064811,0.0002137222,0.0001488492,0.0003484755,0.000009904238,0.0000416096,0.0001078797,0.000093894],"category_scores_gemma":[0.0006905609,0.00009165757,0.00002058032,0.0001391726,0.000006251161,0.00007931214,0.00002311731,0.0002129349,0.00001912256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004551885,"about_ca_system_score_gemma":0.004694237,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4229683,"about_ca_topic_score_gemma":0.7234752,"domain_scores_codex":[0.9986206,0.0001822895,0.000478535,0.0001932581,0.00007902117,0.0004463066],"domain_scores_gemma":[0.997098,0.002387059,0.0001342844,0.0001148451,0.0001111359,0.0001546676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005959815,0.000005672765,0.9843268,0.0001550832,8.640541e-7,1.781512e-7,0.0002361648,0.0006118434,1.065391e-7,0.0006744096,0.01275327,0.001229625],"study_design_scores_gemma":[0.001435176,0.00005062837,0.8643582,0.00001675063,0.00005407682,4.134951e-7,0.001558134,0.09943641,8.526284e-7,0.0009918706,0.03156772,0.0005297821],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950343,0.0004040024,0.001434217,0.001488852,0.0007896971,0.0004785171,0.00004336918,0.00002145563,0.0003055488],"genre_scores_gemma":[0.9937029,0.001860072,0.001962004,0.0008869822,0.001123749,0.0001163155,0.00008172651,0.00002164666,0.0002445469],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3005069,"threshold_uncertainty_score":0.8327376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03247446373626049,"score_gpt":0.3327663598691684,"score_spread":0.3002918961329079,"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."}}