{"id":"W2739129336","doi":"10.1111/cch.12489","title":"Inequitable health service use in a Canadian paediatric population: A cross‐sectional study of individual‐ and contextual‐level factors","year":2017,"lang":"en","type":"article","venue":"Child Care Health and Development","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Children’s Health Research Institute; Western University","funders":"Canadian Institutes of Health Research","keywords":"Neighbourhood (mathematics); Multilevel model; Logistic regression; Context (archaeology); Medicine; Toddler; Odds; Population; Environmental health; Demography; Psychology; Gerontology; Developmental psychology; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001861857,0.000603418,0.0007375845,0.001676155,0.004452009,0.001642701,0.001837419,0.000712809,0.001612951],"category_scores_gemma":[0.003408634,0.0007114558,0.001003154,0.006560668,0.001126084,0.0006439402,0.001771453,0.001265634,0.0002202316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02458971,"about_ca_system_score_gemma":0.03178728,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9918385,"about_ca_topic_score_gemma":0.9935902,"domain_scores_codex":[0.998109,0.0001530224,0.0001208325,0.0003236168,0.0007584936,0.0005349826],"domain_scores_gemma":[0.9979897,0.0001363741,0.0005298707,0.0001260801,0.0007757965,0.0004421852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000192324,0.00002827819,0.9968858,0.00003579539,0.0000412449,0.00004272404,0.001008691,0.00003753876,0.00004257924,0.00005429808,0.0003714734,0.001432292],"study_design_scores_gemma":[0.000002724564,0.00001814666,0.9979439,0.00002631869,0.00001911433,0.00004699239,0.001379792,0.000107445,0.00001866725,0.00001432195,0.0004144008,0.000008339193],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941226,0.0006991847,0.0001492437,0.0002584616,0.00001158062,0.00008308001,0.003120077,0.000008553748,0.001547205],"genre_scores_gemma":[0.9968703,0.0007067071,0.0003848318,0.0001259314,0.000007459675,0.00006537771,0.001487555,0.000006187627,0.0003455903],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02458971,"threshold_uncertainty_score":0.1784117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1493597951558421,"score_gpt":0.3233592297516543,"score_spread":0.1739994345958122,"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."}}