{"id":"W11459396","doi":"10.1016/s0277-9536(00)00348-8","title":"Towards a Flexible Development Framework for Multi-Agent Systems.","year":2010,"lang":"en","type":"article","venue":"WOA","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Public Health Service","keywords":"Computer science; Distributed computing; Realization (probability); Set (abstract data type); Protocol (science); Communications protocol; Peer-to-peer; Software; Computer network; Operating system; Programming language","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0150548,0.001360128,0.0009670031,0.001738639,0.002274651,0.006005728,0.005433549,0.004079742,0.005028068],"category_scores_gemma":[0.01715139,0.001860868,0.002680951,0.0013289,0.005624384,0.007351852,0.008717835,0.005082761,0.001788811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002370787,"about_ca_system_score_gemma":0.0042391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005577814,"about_ca_topic_score_gemma":0.00623955,"domain_scores_codex":[0.9940097,0.003718048,0.0005256185,0.0005523157,0.0009263398,0.0002678467],"domain_scores_gemma":[0.9925735,0.004345605,0.0004291249,0.001106467,0.0009109207,0.0006342817],"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":[0.00003009023,0.0000731253,0.001054206,0.0004280187,0.00008873191,0.0004316644,0.002586424,0.07471222,0.0009601439,0.863387,0.004127909,0.0521205],"study_design_scores_gemma":[0.00005367956,0.00006067419,0.0001703205,0.0003318355,0.00004652726,0.0002330371,0.0006623596,0.3383102,0.0006212284,0.5669411,0.09252592,0.00004297748],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001285754,0.0004715331,0.9914111,0.001680165,0.00007408929,0.0002553893,0.0000459106,0.000481579,0.00429456],"genre_scores_gemma":[0.03141715,0.000523161,0.9634897,0.0002029644,0.00005673945,0.001121236,0.0001626091,0.0001679108,0.002858459],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0150548,"threshold_uncertainty_score":0.07961828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07040121469593935,"score_gpt":0.3210722025184514,"score_spread":0.2506709878225121,"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."}}