{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002556944,0.0002340631,0.0004837805,0.0001098376,0.001042765,0.00001660308,0.0001533877,0.0001602194,0.0001150347],"category_scores_gemma":[0.000005251472,0.0001669911,0.00005508929,0.0002341714,0.00003004464,0.0001856634,0.00005629654,0.0002259069,0.0004848364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000644628,"about_ca_system_score_gemma":0.0007164308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004660658,"about_ca_topic_score_gemma":0.01173003,"domain_scores_codex":[0.9978043,0.0002001818,0.000615574,0.0004387352,0.0002403501,0.0007007929],"domain_scores_gemma":[0.9983395,0.0005769601,0.0002911202,0.000325866,0.0002236321,0.0002428587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.002567173,0.0001853852,0.01850077,0.1070375,0.0001146111,0.0001321721,0.8561814,0.000008393977,0.00001229188,0.006454244,0.005792257,0.003013843],"study_design_scores_gemma":[0.003780403,0.000796559,0.001744442,0.004718552,0.00002464195,0.000602152,0.9037651,0.0002467702,0.00001782385,0.00009879582,0.08383833,0.0003664441],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986674,0.0006553708,0.00004059774,0.0003874337,0.002009798,0.003471897,0.00006285652,0.0002744719,0.006423541],"genre_scores_gemma":[0.9950206,0.00002004829,0.001596104,0.000989115,0.0003443485,0.0004719815,0.0001175388,0.00004720323,0.001393016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1023189,"threshold_uncertainty_score":0.8020214,"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."}}