{"id":"W2622066212","doi":"10.3166/jesa.49.93-113","title":"Stratégies événementielles de réinitialisation pour un consensus dans les systémes multi-agents","year":2016,"lang":"fr","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agence Nationale de la Recherche","keywords":"Political science; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002057848,0.0006578477,0.0006868889,0.0003869413,0.001300636,0.001401011,0.001048874,0.0003298088,0.0006545606],"category_scores_gemma":[0.0006817516,0.0005074047,0.0004093213,0.0004327678,0.0004131755,0.001285659,0.0002620954,0.0003770734,0.0005473003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009785519,"about_ca_system_score_gemma":0.0007201493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008273303,"about_ca_topic_score_gemma":0.00023388,"domain_scores_codex":[0.9927716,0.00260188,0.001793865,0.0006798999,0.001009591,0.001143128],"domain_scores_gemma":[0.9958265,0.0006280384,0.001653508,0.0006519782,0.0007031908,0.0005368029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00004242051,0.0007817433,0.03387095,0.001196482,0.0009321201,0.001478029,0.01583955,0.0008643823,0.04102514,0.02725616,0.01662842,0.8600846],"study_design_scores_gemma":[0.003774968,0.0003447194,0.795316,0.005857522,0.0002819869,0.006154746,0.001964698,0.168923,0.005860142,0.004421104,0.006070249,0.001030889],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3461051,0.008138952,0.635796,0.00383775,0.004128241,0.0005020804,0.000111401,0.0003102336,0.001070218],"genre_scores_gemma":[0.9256299,0.00242933,0.05625392,0.0001207344,0.001045208,0.00002117212,0.00000486116,0.00009357978,0.01440128],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8590537,"threshold_uncertainty_score":0.9999995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07406926284757898,"score_gpt":0.2935698843264308,"score_spread":0.2195006214788518,"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."}}