{"id":"W2033128288","doi":"10.3166/isi.14.2.113-136","title":"Coordination d'activités dans les chaînes logistiques. Une approche multi-agent par formation de coalitions","year":2009,"lang":"fr","type":"article","venue":"Ingénierie des systèmes d information","topic":"Business Strategy and Innovation","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00394607,0.0009577496,0.001175083,0.001269045,0.002208677,0.004272805,0.003043313,0.002304499,0.008085347],"category_scores_gemma":[0.007911879,0.0007005575,0.001404067,0.001576283,0.001614053,0.004366487,0.004533409,0.002124626,0.001273941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00148353,"about_ca_system_score_gemma":0.001899693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007033675,"about_ca_topic_score_gemma":0.009187719,"domain_scores_codex":[0.9968448,0.001476488,0.0001575359,0.0007344052,0.0005676647,0.00021911],"domain_scores_gemma":[0.9959208,0.002453814,0.0002491672,0.0006084025,0.0004476703,0.0003200975],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000589159,0.0002602338,0.002119356,0.000478872,0.0002231865,0.0003931127,0.001742203,0.4306339,0.005573252,0.3383103,0.005852784,0.2138236],"study_design_scores_gemma":[0.00007840963,0.0000827663,0.0002915709,0.00005694329,0.00006211662,0.0001040684,0.0003310767,0.9040573,0.001912432,0.07593825,0.01706414,0.00002098918],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01185321,0.0003095788,0.9767611,0.0005466916,0.00006800278,0.0001157524,0.00008103611,0.0004691946,0.009795525],"genre_scores_gemma":[0.460853,0.0007464412,0.5175138,0.0002079534,0.0001569832,0.0005477394,0.000417467,0.0002046355,0.01935213],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008085347,"threshold_uncertainty_score":0.02704817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03931365688077672,"score_gpt":0.2555671052825991,"score_spread":0.2162534484018224,"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."}}