{"id":"W1594313070","doi":"10.1007/978-3-540-25946-6_18","title":"Laying Down the Foundations of an Agent Modelling Methodology for Fault-Tolerant Multi-agent Systems","year":2004,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Computer science; Fault tolerance; Multi-agent system; Distributed computing; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003000442,0.001179345,0.001006784,0.0009965812,0.001457723,0.004050206,0.003874518,0.003127745,0.004777943],"category_scores_gemma":[0.00454548,0.001334458,0.002115099,0.00107485,0.002635824,0.008918069,0.003043614,0.005667594,0.001881126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001344835,"about_ca_system_score_gemma":0.001855152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002659654,"about_ca_topic_score_gemma":0.002838794,"domain_scores_codex":[0.998464,0.0004810416,0.0001854924,0.0001899394,0.0005627315,0.000116834],"domain_scores_gemma":[0.9982486,0.0008373046,0.0001140181,0.0003792656,0.0003343447,0.00008648203],"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":[0.00001491105,0.00003146343,0.0001141075,0.0001765724,0.00003293798,0.00014067,0.000506573,0.04307991,0.001882354,0.9195346,0.002177431,0.03230852],"study_design_scores_gemma":[0.000009659489,0.00002118363,0.00004537069,0.0001051205,0.00003229988,0.000120268,0.00007252782,0.2003254,0.001984405,0.75973,0.03752814,0.0000256274],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0005654342,0.000231311,0.9962732,0.0004599599,0.00006748788,0.00003064208,0.00001728353,0.0001634995,0.002191219],"genre_scores_gemma":[0.07237248,0.001159648,0.9181876,0.0004342374,0.0001857604,0.0002327024,0.0001424674,0.0002875084,0.006997527],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004777943,"threshold_uncertainty_score":0.01598382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1456276495732891,"score_gpt":0.3344075046179104,"score_spread":0.1887798550446212,"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."}}