{"id":"W4415569876","doi":"10.5267/j.he.2025.1.006","title":"Benchmarking rehabilitation efficiency across Canadian provinces: An implementation of TOPSIS analysis of throughput and budget allocation","year":2025,"lang":"","type":"article","venue":"Healthcare Engineering","topic":"Healthcare Systems and Practices","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"TOPSIS; Benchmarking; Resource allocation; Limiting; Order (exchange); Quality (philosophy); Throughput; Service (business); Grid","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008143575,0.0009538584,0.001235181,0.00804267,0.002636793,0.00357552,0.00121815,0.0003720339,0.002023057],"category_scores_gemma":[0.02564651,0.0003939596,0.001897607,0.0182875,0.0007532986,0.000715929,0.001323552,0.000689311,0.0001427892],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04551731,"about_ca_system_score_gemma":0.08117212,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9702638,"about_ca_topic_score_gemma":0.9587917,"domain_scores_codex":[0.9918333,0.002113604,0.000622221,0.0005271704,0.003699906,0.00120362],"domain_scores_gemma":[0.9889424,0.002331516,0.0007907155,0.0004242431,0.007178852,0.0003322902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005151044,0.0002556338,0.5562041,0.001013844,0.001465926,0.0003976362,0.006013815,0.1491124,0.001722998,0.01513526,0.01049361,0.2576697],"study_design_scores_gemma":[0.00008175964,0.000277659,0.6484743,0.0003070152,0.0005414566,0.00009844327,0.01979356,0.313013,0.002161452,0.003449086,0.01158621,0.00021606],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9303005,0.000598487,0.03987198,0.0009646908,0.00006394842,0.0008866788,0.005541014,0.0002732383,0.02149945],"genre_scores_gemma":[0.9590213,0.0002971766,0.03740343,0.0000330013,0.000004612084,0.0002238112,0.001811047,0.00002397854,0.00118166],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9544827,"threshold_uncertainty_score":0.3302528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0352830744381072,"score_gpt":0.4529960621112573,"score_spread":0.4177129876731501,"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."}}