{"id":"W2082402533","doi":"10.1377/hlthaff.2014.0828","title":"Children With Medical Complexity And Medicaid: Spending And Cost Savings","year":2014,"lang":"en","type":"article","venue":"Health Affairs","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":343,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; Agency for Healthcare Research and Quality","keywords":"Medicaid; Health care; Medical care; Context (archaeology); Emergency department; Ambulatory care; Medicine; Business; Family medicine; Actuarial science; Nursing; Economics; Economic growth","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":[0.0008100036,0.0001943673,0.0001972349,0.0009215025,0.0005225263,0.001882279,0.0002062321,0.001202362,0.00327853],"category_scores_gemma":[0.005205275,0.0001808183,0.0003948392,0.001642157,0.001102367,0.00169543,0.0009002305,0.001201076,0.00008958233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005795494,"about_ca_system_score_gemma":0.002011979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03090501,"about_ca_topic_score_gemma":0.03889883,"domain_scores_codex":[0.9992903,0.0002697422,0.00002421652,0.00004054103,0.0001319226,0.0002433084],"domain_scores_gemma":[0.9982505,0.0008932378,0.0005209256,0.00004883939,0.0001002939,0.000186215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0003055573,0.0001908136,0.3267421,0.0001210118,0.0001428837,0.0009568337,0.0006955141,0.03981463,0.0004825026,0.5679898,0.01773554,0.04482276],"study_design_scores_gemma":[0.0001026957,0.0003307507,0.5837581,0.0004752669,0.0002592834,0.001625507,0.007171295,0.07019343,0.001300178,0.2764097,0.05825763,0.0001161448],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8832896,0.005554063,0.003496559,0.05625721,0.0001103179,0.00003866726,0.001896478,0.00004123856,0.04931589],"genre_scores_gemma":[0.9958252,0.001543385,0.0004937386,0.0004738194,0.00007976665,0.00001264691,0.0002437198,0.000004719948,0.001323059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03090501,"threshold_uncertainty_score":0.06145024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05526218069006737,"score_gpt":0.2868070706610509,"score_spread":0.2315448899709835,"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."}}