{"id":"W4415569926","doi":"10.5267/j.he.2025.1.003","title":"Provincial analysis of relative efficiency in Canadian hospitals using DEA","year":2025,"lang":"","type":"article","venue":"Healthcare Engineering","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Data envelopment analysis; Efficiency; Investment (military); Measure (data warehouse); Resource allocation","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","bibliometrics"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.006229233,0.0005236794,0.001848185,0.01599254,0.0003656774,0.0001829487,0.001196087,0.0005129628,0.00008019077],"category_scores_gemma":[0.007402483,0.0005610904,0.0006972399,0.04072275,0.0001888564,0.0004796339,0.0002031583,0.0008423734,0.000008745423],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00287654,"about_ca_system_score_gemma":0.006571277,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6606875,"about_ca_topic_score_gemma":0.6568787,"domain_scores_codex":[0.9920098,0.0004681541,0.003021929,0.001343013,0.001497446,0.00165966],"domain_scores_gemma":[0.9948918,0.001662763,0.0006286204,0.001245061,0.0009430993,0.0006286575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001282678,0.00006851837,0.2212116,0.0001563018,0.000442009,0.00004321714,0.002226117,0.7627414,0.000165715,0.01000951,0.00001049481,0.002912338],"study_design_scores_gemma":[0.000203886,0.00006170258,0.1478614,0.0005619059,0.0007630194,0.000001000221,0.0004456109,0.8491157,0.0001374076,0.0001625776,0.0003118675,0.000373994],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9411349,0.006193909,0.04838992,0.001503004,0.001329634,0.0006982367,0.0002205346,0.00003826203,0.000491661],"genre_scores_gemma":[0.9976088,0.00005628876,0.001999696,0.0001322641,0.00004356974,0.00001069227,0.00001220359,0.00002751449,0.0001089614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08637425,"threshold_uncertainty_score":0.999684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02891930926755639,"score_gpt":0.3566528685063978,"score_spread":0.3277335592388415,"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."}}