{"id":"W363077300","doi":"","title":"Une aide au développement de la métacognition : L’atelier d’efficience cognitive","year":2006,"lang":"fr","type":"article","venue":"Érudit (Université de Montréal)","topic":"Information Technology and Learning","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008800668,0.0001806761,0.0001666894,0.0001836497,0.002089739,0.0000320514,0.0002383066,0.0004470719,0.0003996936],"category_scores_gemma":[0.000111108,0.0002297446,0.0001010323,0.0008615908,0.001000226,0.0004264525,0.0001140915,0.0004189574,0.0009244046],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007767568,"about_ca_system_score_gemma":0.0002415599,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03946098,"about_ca_topic_score_gemma":0.05775268,"domain_scores_codex":[0.9982562,0.0003378311,0.0001988323,0.0002320056,0.0003005924,0.0006745117],"domain_scores_gemma":[0.9991197,0.0002963061,0.000223497,0.0001030029,0.0001389142,0.0001185952],"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":[0.0002045294,0.0004060467,0.01117936,0.00008212325,0.000145769,0.001385755,0.04254495,0.004009862,0.0004195995,0.4914752,0.03945126,0.4086955],"study_design_scores_gemma":[0.001476863,0.0001318971,0.02257143,0.0002271372,0.0002117827,0.0001823862,0.03980874,0.002752272,0.001266082,0.01813642,0.9127203,0.0005147559],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7804539,0.005102217,0.0149804,0.0520763,0.0003106885,0.0002572664,0.00002796034,0.0002242204,0.1465671],"genre_scores_gemma":[0.9421791,0.001891338,0.0009684953,0.0003883646,0.0001649734,0.000006784328,0.00004267125,0.00001271775,0.05434552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.873269,"threshold_uncertainty_score":0.9998535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007026347889937053,"score_gpt":0.211193947279352,"score_spread":0.204167599389415,"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."}}