{"id":"W2100309853","doi":"10.1109/ccece.2008.4564598","title":"Un système multi-agent pour la présentation d’expressions mathématiques á des utilisateurs non-voyants","year":2008,"lang":"fr","type":"article","venue":"Conference proceedings - Canadian Conference on Electrical and Computer Engineering","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Ampere; Computer science; Electrical engineering; Engineering; Voltage","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":[0.001585288,0.0008499277,0.0005534437,0.0007175482,0.001243236,0.003914818,0.001287891,0.001867842,0.03431125],"category_scores_gemma":[0.002631349,0.000507759,0.0007874731,0.000464027,0.0007875046,0.003055354,0.002019686,0.001951089,0.01277706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001062886,"about_ca_system_score_gemma":0.001680454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003749855,"about_ca_topic_score_gemma":0.004247639,"domain_scores_codex":[0.9989023,0.0002688182,0.00007944735,0.000246612,0.0004292008,0.00007362787],"domain_scores_gemma":[0.9989742,0.0002633141,0.00005889637,0.0002031484,0.000370381,0.0001300766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001004805,0.0004604277,0.00263736,0.001195792,0.0001864146,0.0009389034,0.003511102,0.01527965,0.1680936,0.2254024,0.06668063,0.514609],"study_design_scores_gemma":[0.0001390146,0.0003418291,0.001710926,0.0002861803,0.0001235948,0.0007735977,0.0004565572,0.1011248,0.06545565,0.02260986,0.8068324,0.0001456249],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01336952,0.001086861,0.8970569,0.001569179,0.0007594965,0.0003473361,0.0004527569,0.01322607,0.07213178],"genre_scores_gemma":[0.1451583,0.001182472,0.6556711,0.0008657164,0.0002357922,0.0007391269,0.001177554,0.001786936,0.193183],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03431125,"threshold_uncertainty_score":0.1147826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08613182156707305,"score_gpt":0.2659662480285453,"score_spread":0.1798344264614722,"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."}}