{"id":"W4313530826","doi":"10.1016/j.cie.2022.108938","title":"Incentive schemes for readmissions reduction in coordinating reverse referral healthcare services","year":2023,"lang":"en","type":"article","venue":"Computers & Industrial Engineering","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"National Natural Science Foundation of China","keywords":"Incentive; Referral; Business; Payment; Service (business); Operations management; Prospective payment system; Health care; Actuarial science; Medical emergency; Finance; Medicine; Nursing; Marketing; Economics; Microeconomics","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":[0.0006286156,0.0001309375,0.0002795642,0.0005008713,0.00009552322,0.0000423492,0.0001550811,0.0001472052,0.000005355515],"category_scores_gemma":[0.0001538611,0.0001707609,0.00006481235,0.0006673582,0.000008146064,0.0001909145,0.00009801362,0.0002478509,0.00002776758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000252449,"about_ca_system_score_gemma":0.00002985828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001810138,"about_ca_topic_score_gemma":0.00002498367,"domain_scores_codex":[0.9987226,0.00001481713,0.0005124063,0.0003207749,0.00003344645,0.0003960036],"domain_scores_gemma":[0.9994759,0.00007335873,0.0001499736,0.0001654738,0.00002319884,0.0001120819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000162959,0.0001424152,0.008622198,0.002097665,0.0002274014,0.00003309419,0.006921086,0.09081758,0.0001609048,0.7521253,0.02001683,0.1186725],"study_design_scores_gemma":[0.00241484,0.0001528181,0.002386356,0.0007977902,0.00000641155,0.000002633787,0.0009095019,0.3231131,0.0001534056,0.002806916,0.6666988,0.0005573448],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8841388,0.0008280983,0.03448853,0.05871494,0.01565747,0.0036348,0.0004019532,0.001298206,0.0008371964],"genre_scores_gemma":[0.9967003,0.0000603831,0.001901429,0.000171892,0.0007615099,0.00009681441,0.00008462797,0.00002981567,0.0001931629],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7493184,"threshold_uncertainty_score":0.6963426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1225747801517153,"score_gpt":0.2952542912654395,"score_spread":0.1726795111137242,"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."}}