{"id":"W2604930766","doi":"10.71781/10403","title":"Conception d'un modèle de création générique d'agents de médiation","year":2003,"lang":"fr","type":"dissertation","venue":"Open MIND","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Mod; Philosophy; Mathematics; Combinatorics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003128221,0.001216076,0.001207808,0.002376644,0.002738804,0.01248854,0.004013795,0.004549028,0.01360605],"category_scores_gemma":[0.005081397,0.001128806,0.00225898,0.001977295,0.006411195,0.009081604,0.003230368,0.003933993,0.002494188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005869994,"about_ca_system_score_gemma":0.005911005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03781883,"about_ca_topic_score_gemma":0.02031041,"domain_scores_codex":[0.9982975,0.0005537949,0.00007772798,0.0003430546,0.0005341949,0.0001937464],"domain_scores_gemma":[0.9983774,0.0006241644,0.00008703982,0.0003709789,0.0003729619,0.0001674084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001493516,0.00001267956,0.00009067989,0.00005358662,0.00001465019,0.00007124221,0.0004736678,0.002699754,0.0004753102,0.9875876,0.001049651,0.007456117],"study_design_scores_gemma":[0.0001222071,0.00006895786,0.000387711,0.0003643659,0.00008823437,0.0005706609,0.000740053,0.07727978,0.002933469,0.6411205,0.2762275,0.00009656903],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005759736,0.002280829,0.9398187,0.00293355,0.0003952326,0.0002060785,0.0003067402,0.0008187414,0.0474803],"genre_scores_gemma":[0.1942461,0.003477624,0.7330041,0.0007781611,0.0003237306,0.001253902,0.0007818064,0.0003642486,0.06577044],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03781883,"threshold_uncertainty_score":0.07519746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.102886169298045,"score_gpt":0.331527263410226,"score_spread":0.228641094112181,"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."}}