{"id":"W1998647632","doi":"10.1097/01.pcama.0000327408.71354.52","title":"What Can Claims Data Tell the Case Manager?","year":2008,"lang":"en","type":"article","venue":"Professional Case Management","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Care Foundation","funders":"","keywords":"Reimbursement; Documentation; Relevance (law); Service (business); Case mix index; Protocol (science); Case management; MEDLINE; Business; Medicine; Operations management; Nursing; Computer science; Health care; Marketing; Economics; Alternative medicine","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":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001898109,0.0003592419,0.0004041478,0.0001901623,0.005675924,0.00003747101,0.00100249,0.000197964,0.001779683],"category_scores_gemma":[0.00004592325,0.0002300518,0.00009825319,0.0004233787,0.0001763703,0.0006840857,0.00373282,0.001243979,0.0009778056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005065301,"about_ca_system_score_gemma":0.0006051834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001050916,"about_ca_topic_score_gemma":0.003071035,"domain_scores_codex":[0.9955944,0.001038362,0.0008957718,0.0008076117,0.0005946506,0.001069173],"domain_scores_gemma":[0.9958296,0.0009260754,0.0003216194,0.002467839,0.000138882,0.0003159289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009450036,0.0001404017,0.002601246,0.0008347089,0.0001263541,0.2000334,0.003384874,0.000003224072,8.069e-7,0.006735267,0.7669864,0.01905883],"study_design_scores_gemma":[0.001629987,0.00005295826,0.005736502,0.0003048542,0.0001858317,0.015397,0.05802818,0.0003266116,0.000002073054,0.001459356,0.9163757,0.0005009466],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6083063,0.005693013,0.0004261622,0.2130806,0.03101425,0.01174037,0.0006580518,0.000905821,0.1281754],"genre_scores_gemma":[0.6947435,0.004437559,0.001302959,0.1237127,0.001448876,0.001015552,0.0005911833,0.0001143192,0.1726333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1846364,"threshold_uncertainty_score":0.9998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1874509864786214,"score_gpt":0.4635744093454393,"score_spread":0.276123422866818,"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."}}