{"id":"W4214612186","doi":"10.52358/mm.vi9.244","title":"Évaluer des compétences : une articulation cubique","year":2022,"lang":"fr","type":"article","venue":"Médiations et médiatisations","topic":"Student Assessment and Feedback","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Humanities; Political science; Valuation (finance); Library science; Philosophy; Computer science; Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.01136998,0.001261914,0.000949915,0.007453648,0.005777542,0.02036209,0.00156567,0.004018276,0.01016381],"category_scores_gemma":[0.01884323,0.0007351811,0.0008719957,0.005525671,0.01669771,0.01021838,0.00707593,0.005581381,0.001884632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02033105,"about_ca_system_score_gemma":0.01482243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06571247,"about_ca_topic_score_gemma":0.05872446,"domain_scores_codex":[0.9864495,0.008622541,0.000692579,0.001030846,0.002372926,0.0008315205],"domain_scores_gemma":[0.9851141,0.008215643,0.0008966849,0.0007078265,0.004310444,0.000755298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001343743,0.00003331387,0.001813168,0.0007254281,0.00002515656,0.0003263401,0.08566229,0.0003757565,0.001357619,0.8367348,0.01048286,0.06232883],"study_design_scores_gemma":[0.00003624831,0.00008728135,0.005909492,0.003307646,0.00005436297,0.0009135922,0.07744336,0.001715917,0.001168131,0.1496758,0.7595607,0.0001274457],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03752224,0.04743198,0.1855655,0.07583512,0.003486512,0.0007287964,0.0007545355,0.0004353531,0.64824],"genre_scores_gemma":[0.7616528,0.01859019,0.09076823,0.006647391,0.0009499893,0.001795277,0.0005683177,0.0006749011,0.1183529],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06571247,"threshold_uncertainty_score":0.1475128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06017867497735572,"score_gpt":0.3531760497497726,"score_spread":0.2929973747724168,"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."}}