{"id":"W2528619020","doi":"","title":"Mesure de l'efficience des centres hospitaliers québécois avec processus d'investissement","year":2016,"lang":"fr","type":"article","venue":"Archipelago (Université du Québec à Montréal)","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Allocative efficiency; Art; Economics","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":[0.002029724,0.000620836,0.0005548794,0.0011845,0.0007654768,0.002723591,0.0009191827,0.000830929,0.008293598],"category_scores_gemma":[0.005108681,0.0003553609,0.0006538134,0.001729123,0.0006171268,0.0009559341,0.0009048238,0.001032163,0.0006004588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02012071,"about_ca_system_score_gemma":0.01719643,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8013983,"about_ca_topic_score_gemma":0.8245134,"domain_scores_codex":[0.998845,0.0003094287,0.00005144192,0.0001842157,0.0002590482,0.0003507638],"domain_scores_gemma":[0.9955767,0.001531025,0.0007076226,0.0001542473,0.001289476,0.0007408922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008128445,0.0003475606,0.499346,0.0008910063,0.0007618971,0.0004473129,0.003306298,0.3804781,0.004240703,0.0205578,0.007604058,0.08120649],"study_design_scores_gemma":[0.00009703157,0.0004747063,0.8386132,0.0005267582,0.0004345366,0.0001055379,0.006241345,0.1228061,0.002171624,0.002891029,0.02552575,0.0001123087],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9539353,0.001281207,0.008184101,0.00249353,0.00004507643,0.0001993195,0.005176535,0.0001027999,0.02858222],"genre_scores_gemma":[0.9813607,0.0005061876,0.002758573,0.0001080106,0.000007225172,0.00009837573,0.001000028,0.00001230026,0.01414866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1986017,"threshold_uncertainty_score":0.3995425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01259403069722589,"score_gpt":0.2286964190226096,"score_spread":0.2161023883253837,"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."}}