{"id":"W4415569922","doi":"10.5267/j.he.2025.1.005","title":"Benchmarking rehabilitation efficiency across Canadian provinces: A DEA-based 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":"Benchmarking; Resource allocation; Rehabilitation; Investment (military); Throughput; Resource (disambiguation); Service (business); Software deployment","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":[0.004206812,0.0005498648,0.0008180552,0.00713151,0.002145184,0.002864364,0.001269451,0.0003012786,0.001454898],"category_scores_gemma":[0.01671122,0.0003079723,0.001070343,0.0180685,0.000607905,0.0005295585,0.001365477,0.0005959061,0.0001515122],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0964991,"about_ca_system_score_gemma":0.1064867,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9973751,"about_ca_topic_score_gemma":0.9966659,"domain_scores_codex":[0.9943983,0.0008846617,0.000341789,0.0004051655,0.002434018,0.001536078],"domain_scores_gemma":[0.9903386,0.001544844,0.0008504994,0.0004466145,0.00629399,0.0005254582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004039369,0.0001101006,0.859469,0.0003234523,0.0008383587,0.0001443852,0.002095605,0.04331795,0.0004756456,0.01070431,0.0118418,0.07027543],"study_design_scores_gemma":[0.00002173757,0.0000477428,0.9573944,0.00008864114,0.0001287516,0.00003780107,0.004234101,0.02557494,0.0003802229,0.0005073996,0.01153146,0.00005278285],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9469277,0.00106231,0.003996911,0.000955927,0.00003282014,0.0002664374,0.02430547,0.0001175175,0.0223349],"genre_scores_gemma":[0.9873875,0.0004052699,0.003080164,0.00007206601,0.000004491048,0.00009388044,0.006795151,0.00002538504,0.002136139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9035009,"threshold_uncertainty_score":0.7001532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03087190982744937,"score_gpt":0.4066298408143197,"score_spread":0.3757579309868703,"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."}}