{"id":"W1998942894","doi":"10.7202/016403ar","title":"L’évaluation de la performance des collèges publics québécois par la méthode du Data Envelopment Analysis","year":2007,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Université du Québec à Montréal","funders":"","keywords":"Humanities; Political science; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01230334,0.001185336,0.0014636,0.003869797,0.0009074187,0.003597947,0.0007211734,0.0006724095,0.003959061],"category_scores_gemma":[0.05046098,0.0003916201,0.001985091,0.008793689,0.0008999171,0.001434547,0.00113507,0.000987886,0.0006344219],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009386079,"about_ca_system_score_gemma":0.01467412,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4495957,"about_ca_topic_score_gemma":0.3137,"domain_scores_codex":[0.9896344,0.00430107,0.0007629805,0.001068137,0.003676357,0.0005570795],"domain_scores_gemma":[0.9756799,0.01329201,0.001768403,0.001947559,0.007006966,0.0003051267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006272379,0.0002994987,0.3064408,0.001898324,0.003248158,0.0002523406,0.003589608,0.1703191,0.003231717,0.02443651,0.01030351,0.4753532],"study_design_scores_gemma":[0.000153722,0.0007555975,0.5042172,0.001434434,0.0009601499,0.0001844487,0.007115492,0.38799,0.008631063,0.01141287,0.07681901,0.0003261252],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5838848,0.004741434,0.3689013,0.002885211,0.0002199198,0.001204,0.0103661,0.0007238339,0.02707346],"genre_scores_gemma":[0.8934692,0.00155173,0.08964046,0.0001872391,0.00004361544,0.0009747032,0.005275996,0.0001229716,0.008734081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9906139,"threshold_uncertainty_score":0.8939574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2108800984483168,"score_gpt":0.3789737222596555,"score_spread":0.1680936238113388,"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."}}