{"id":"W1990146692","doi":"10.3166/ria.27.271-298","title":"Langage de coordination multi-agent sécurisé","year":2013,"lang":"fr","type":"article","venue":"Revue d intelligence artificielle","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00604347,0.001177778,0.00107904,0.001148906,0.001467763,0.006337876,0.001427839,0.001684693,0.007372962],"category_scores_gemma":[0.01139164,0.0007628571,0.001279782,0.0007812529,0.001673374,0.005283885,0.003022866,0.002719787,0.002858174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0015647,"about_ca_system_score_gemma":0.001801625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004885716,"about_ca_topic_score_gemma":0.00215428,"domain_scores_codex":[0.994054,0.001933726,0.0008064766,0.000885376,0.00202502,0.0002953393],"domain_scores_gemma":[0.9907022,0.004215606,0.0005486113,0.002414414,0.001730789,0.000388456],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001375867,0.000233253,0.005522703,0.0009919804,0.0002167043,0.001956174,0.007547982,0.05770916,0.05138684,0.5943579,0.01423664,0.2644649],"study_design_scores_gemma":[0.0001867789,0.0005601066,0.002536922,0.0004585564,0.0001827318,0.00138388,0.001383493,0.3156851,0.0833617,0.1566216,0.4373814,0.0002576634],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01721871,0.0008219492,0.9656289,0.0006478727,0.0003493477,0.0001839736,0.000310355,0.005509159,0.009329768],"genre_scores_gemma":[0.3236899,0.001671658,0.6360131,0.0004560431,0.0003857763,0.0007394937,0.001758023,0.001801744,0.03348427],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007372962,"threshold_uncertainty_score":0.03196126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08209258436763231,"score_gpt":0.2957951929758929,"score_spread":0.2137026086082605,"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."}}