{"id":"W2016816371","doi":"10.1542/peds.2012-0175","title":"Patterns and Costs of Health Care Use of Children With Medical Complexity","year":2012,"lang":"en","type":"article","venue":"PEDIATRICS","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":657,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Rehabilitation Institute; Institute for Clinical Evaluative Sciences; Institute for Work & Health; University of Toronto; SickKids Foundation; Hospital for Sick Children; York University","funders":"Ontario Ministry of Health and Long-Term Care; Eunice Kennedy Shriver National Institute of Child Health and Human Development; Institute for Clinical Evaluative Sciences","keywords":"Medicine; Health care; Population; Medical Expenditure Panel Survey; Ambulatory care; Family medicine; Emergency medicine; Environmental health; Health insurance","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004663962,0.00007392858,0.0002940903,0.0001328255,0.00003543346,0.00000618119,0.00007981408,0.00005254054,0.00003826526],"category_scores_gemma":[0.0001301127,0.00007346935,0.00002525157,0.0001351215,0.00004372409,0.0001042513,0.00007004793,0.00008450182,0.000005213886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005303348,"about_ca_system_score_gemma":0.00004156998,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01810779,"about_ca_topic_score_gemma":0.0008008786,"domain_scores_codex":[0.9991037,0.00002611573,0.0004380818,0.0001260493,0.00006872987,0.0002372849],"domain_scores_gemma":[0.9992421,0.0000638464,0.0003289945,0.0001674448,0.00002594569,0.0001717201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003715782,0.00005207171,0.9254753,0.0001495204,0.00001176997,1.098944e-7,0.0007423495,9.97553e-7,4.348371e-9,0.06873672,0.0002701011,0.004557354],"study_design_scores_gemma":[0.0003215135,0.0001056172,0.9966909,0.00001554424,0.000006332395,0.000001955477,0.00009517166,0.00002097342,0.000001929536,0.0001153092,0.002534919,0.00008986747],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989695,0.004213633,0.00350034,0.001329201,0.0001052081,0.0002362626,0.0006116969,0.00001098408,0.0002976501],"genre_scores_gemma":[0.9968011,0.001819781,0.0007089817,0.0004897647,0.0001235148,0.000003871222,0.00003682978,0.000009345584,0.000006801507],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07121558,"threshold_uncertainty_score":0.9884307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0867592287463171,"score_gpt":0.2915831808338578,"score_spread":0.2048239520875407,"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."}}