{"id":"W2920893241","doi":"10.1016/j.acap.2019.01.009","title":"Material Hardships and Health Care Utilization Among Low-Income Children with Special Health Care Needs","year":2019,"lang":"en","type":"article","venue":"Academic Pediatrics","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":45,"is_retracted":false,"has_abstract":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"National Center for Advancing Translational Sciences","keywords":"Medicine; Odds ratio; Confidence interval; Emergency department; Health care; Logistic regression; Rate ratio; Odds; Environmental health; Demography; Gerontology; Nursing; Population","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":[0.0005970368,0.0003262332,0.0004033717,0.001931139,0.001087081,0.001197799,0.0005465369,0.0006888788,0.003193259],"category_scores_gemma":[0.003779792,0.0003714228,0.0007607069,0.001937835,0.0004989342,0.0008446556,0.001486966,0.001282035,0.0002988686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000976508,"about_ca_system_score_gemma":0.001045369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05427832,"about_ca_topic_score_gemma":0.06718809,"domain_scores_codex":[0.9993079,0.0001167073,0.00007676907,0.00005282903,0.0001146246,0.0003312812],"domain_scores_gemma":[0.997303,0.0003592429,0.001104368,0.00005420209,0.0002100874,0.0009691459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001714323,0.00007318789,0.9990472,0.000004612437,0.00001541043,0.00004123876,0.0001720948,0.00001328337,0.00001566075,0.00001895418,0.00009089082,0.0004903052],"study_design_scores_gemma":[0.000001228141,0.00003182038,0.9981416,0.000008800871,0.000006331532,0.00004896225,0.001617766,0.0000374836,0.000009369872,0.00001238909,0.00008211192,0.000002122969],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990951,0.0001403469,0.000007265704,0.0001005367,0.0000060596,0.000004355651,0.0002109222,0.000001066793,0.0004343102],"genre_scores_gemma":[0.9993462,0.0001281326,0.00001684856,0.00003544319,0.00001090913,0.000006270119,0.0002416892,0.000001098156,0.0002133233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05427832,"threshold_uncertainty_score":0.1079248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07562865309406351,"score_gpt":0.4015722808603375,"score_spread":0.325943627766274,"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."}}