{"id":"W1969759693","doi":"10.3166/ria.28.433-462","title":"Réduire l’arbitraire par la négociation quitte à concéder","year":2014,"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; Philosophy; Political 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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001901486,0.000383773,0.000445358,0.0001488114,0.0004677201,0.0005124306,0.0008122209,0.0003822534,0.0005073614],"category_scores_gemma":[0.0004000803,0.0004206293,0.0002580447,0.0007000131,0.0002310377,0.0009335072,0.0001896598,0.0004024985,0.004160658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001446785,"about_ca_system_score_gemma":0.0001338932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004586199,"about_ca_topic_score_gemma":0.0001272443,"domain_scores_codex":[0.9962204,0.0007093587,0.0009845487,0.0009001793,0.0004398893,0.0007455939],"domain_scores_gemma":[0.9973565,0.000577268,0.0004818253,0.001015268,0.0003020593,0.000267121],"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":[0.00001302839,0.0004167617,0.001889789,0.0005122552,0.0000675031,0.00003377663,0.01376272,0.02477506,0.006021572,0.6185639,0.01150187,0.3224418],"study_design_scores_gemma":[0.0000815172,0.0001142598,0.0009552193,0.0004362657,0.00002870951,0.00004182394,0.0002741335,0.7245143,0.01565339,0.003742846,0.25374,0.0004175347],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01694605,0.002285636,0.9356476,0.01165104,0.005392516,0.000565769,0.00001210361,0.000208012,0.02729124],"genre_scores_gemma":[0.9678181,0.0002865703,0.002647841,0.000674026,0.001011518,0.00003729139,0.00001579287,0.00004097461,0.02746785],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9508721,"threshold_uncertainty_score":0.9998245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05185693998170653,"score_gpt":0.2802940755265707,"score_spread":0.2284371355448642,"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."}}