{"id":"W2280732594","doi":"","title":"Gestion et émasculation des évaluations : le cas du Canada","year":2011,"lang":"fr","type":"article","venue":"Docs.school Publications","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gpt","categories":[],"domain":null,"study_design":"design_other","genre":"other","about_ca_system":false,"about_ca_topic":true,"confidence":"low","status":"direct model label, unvalidated"},{"model":"grok","categories":[],"domain":null,"study_design":"theoretical_or_conceptual","genre":"commentary","about_ca_system":false,"about_ca_topic":true,"confidence":"low","status":"direct model label, unvalidated"},{"model":"opus","categories":[],"domain":null,"study_design":"theoretical_or_conceptual","genre":"commentary","about_ca_system":false,"about_ca_topic":true,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01681001,0.0005607233,0.0008248594,0.003416548,0.01066447,0.01348657,0.001671823,0.003039455,0.0110081],"category_scores_gemma":[0.03357179,0.0005429209,0.0005428147,0.00610337,0.006410581,0.003186943,0.003630308,0.004413689,0.001105616],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1059179,"about_ca_system_score_gemma":0.2028835,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9811063,"about_ca_topic_score_gemma":0.9890983,"domain_scores_codex":[0.9770079,0.00539255,0.0006646839,0.001496442,0.01185516,0.003583265],"domain_scores_gemma":[0.9612828,0.008675537,0.001223754,0.001353205,0.02238577,0.005078824],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003355231,0.0001285778,0.01682843,0.0004967554,0.00006548235,0.0006543219,0.00909583,0.00246902,0.001150055,0.3964904,0.1423221,0.4299634],"study_design_scores_gemma":[0.0001010276,0.0001044628,0.07100943,0.001180213,0.00004466876,0.0002577774,0.007741231,0.002764903,0.0008893615,0.02290409,0.8928469,0.000155913],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1422159,0.06939556,0.01953491,0.2494333,0.003078493,0.0003171209,0.001484735,0.0004922134,0.5140479],"genre_scores_gemma":[0.6815667,0.01897107,0.0157531,0.008063067,0.0005885495,0.0001745245,0.0004137387,0.0003345034,0.2741347],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.98319,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2524109226161727,"score_gpt":0.4428439298136063,"score_spread":0.1904330071974336,"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."}}