{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005328987,0.0003279552,0.001007071,0.001397198,0.000739978,0.0000376817,0.0002114694,0.0005018954,0.00008494398],"category_scores_gemma":[0.0008386411,0.0003687498,0.0001419941,0.003351752,0.00007670537,0.0006542212,0.00007727336,0.0006065519,8.762418e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001167503,"about_ca_system_score_gemma":0.003812638,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7619057,"about_ca_topic_score_gemma":0.806507,"domain_scores_codex":[0.9941519,0.001379988,0.002426847,0.0006903494,0.0004017535,0.0009491437],"domain_scores_gemma":[0.9947062,0.002077054,0.001051511,0.0006436369,0.001040779,0.0004808892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006596662,0.0001004508,0.6005555,0.02947136,0.0008219581,0.000002127357,0.1668724,0.0095798,0.0003186758,0.01757397,0.00005493428,0.1745829],"study_design_scores_gemma":[0.0005911879,0.0008084064,0.809782,0.002256166,0.0005846057,8.405462e-7,0.09958399,0.0820251,0.00008658144,0.0000430238,0.003880907,0.0003571824],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9764124,0.003504855,0.006437369,0.008969604,0.001495884,0.002457974,0.0005658641,0.00004390348,0.0001121875],"genre_scores_gemma":[0.9958335,0.0005821895,0.002878889,0.0002021127,0.0001309151,0.0001291836,0.0001898736,0.00002936445,0.00002404502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2092265,"threshold_uncertainty_score":0.9998764,"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."}}