{"id":"W2045246978","doi":"10.3166/ria.25.11-42","title":"Agents BDI et simulations sociales. Unis pour le meilleur et pour le pire","year":2011,"lang":"fr","type":"article","venue":"Revue d intelligence artificielle","topic":"Agriculture and Rural Development Research","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; 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":[0.002026301,0.001183503,0.001938401,0.001071673,0.0009683232,0.004296231,0.001325224,0.002786145,0.01980875],"category_scores_gemma":[0.007355673,0.0008952065,0.0014481,0.001602128,0.001805773,0.003761863,0.001995946,0.006502677,0.004504777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001761195,"about_ca_system_score_gemma":0.000982232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00634061,"about_ca_topic_score_gemma":0.004616493,"domain_scores_codex":[0.998363,0.0007712473,0.00006788273,0.0002129818,0.0005181827,0.00006676572],"domain_scores_gemma":[0.9951687,0.003522077,0.0001568757,0.0005039408,0.0004625325,0.0001859822],"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":[0.0001531066,0.00006727322,0.0008335262,0.0004254755,0.0001406868,0.0001208388,0.0002367593,0.09385804,0.001102795,0.7691876,0.04713932,0.08673458],"study_design_scores_gemma":[0.00006114856,0.00004185065,0.0004896327,0.0001734135,0.00003275067,0.0001257718,0.00007790262,0.4704373,0.001431464,0.3568367,0.1702385,0.00005349891],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01065176,0.03909983,0.8372811,0.02253023,0.01237591,0.0001038633,0.000946211,0.001603377,0.07540773],"genre_scores_gemma":[0.3388601,0.062298,0.3500198,0.004211279,0.01306151,0.001077984,0.003473343,0.002747941,0.2242501],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01980875,"threshold_uncertainty_score":0.06626683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1756683923501751,"score_gpt":0.3182344433674207,"score_spread":0.1425660510172457,"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."}}