{"id":"W2955263757","doi":"10.1177/1178632919856011","title":"A Case-Mix System for Adults with Developmental Disabilities","year":2019,"lang":"en","type":"article","venue":"Health Services Insights","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Lakehead University","funders":"","keywords":"Medicaid; Reimbursement; Case mix index; Payment; Payment system; Business; Service (business); Service provider; Actuarial science; Variance (accounting); Population; Health care; Marketing; Medicine; Nursing; Economics; Environmental health; Finance; Accounting; 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":[0.01052296,0.0007357425,0.0007070474,0.01157421,0.001657622,0.002378374,0.001419769,0.0007162545,0.01616384],"category_scores_gemma":[0.04723021,0.0004160124,0.0009561577,0.006147355,0.0005551433,0.001763538,0.002747859,0.0007593955,0.002373313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004237251,"about_ca_system_score_gemma":0.003861625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01564845,"about_ca_topic_score_gemma":0.01776249,"domain_scores_codex":[0.9894922,0.004587264,0.002066618,0.001600797,0.001906966,0.0003461255],"domain_scores_gemma":[0.977366,0.008707499,0.005436188,0.003044721,0.004598992,0.0008465457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00108925,0.0008952814,0.7229897,0.0004976756,0.0003184408,0.0006548544,0.004557641,0.004733338,0.001903,0.01168296,0.04006776,0.21061],"study_design_scores_gemma":[0.0005428204,0.001079308,0.7455278,0.0005369934,0.0004645337,0.00318357,0.007609805,0.1027749,0.005104477,0.02994224,0.1029077,0.0003257642],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6870227,0.001193094,0.1641249,0.003838237,0.0003697826,0.02668697,0.07602431,0.004165594,0.03657433],"genre_scores_gemma":[0.7148991,0.0005149212,0.2036204,0.0006579784,0.0002216818,0.01997288,0.05182853,0.0002662195,0.00801836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01616384,"threshold_uncertainty_score":0.05565143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0255472795705661,"score_gpt":0.337018213173013,"score_spread":0.3114709336024469,"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."}}