{"id":"W1975487968","doi":"10.4018/jiit.2005070102","title":"ADAM","year":2005,"lang":"en","type":"article","venue":"International Journal of Intelligent Information Technologies","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science; JADE (particle detector); Oracle; Database administrator; Relational database management system; Component (thermodynamics); Multi-agent system; Intelligent agent; Database; Relational database; Autonomous agent; Architecture; Software engineering; 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":[0.00147798,0.0009400558,0.0006174392,0.00138175,0.002029885,0.006086025,0.001450954,0.002905461,0.2893926],"category_scores_gemma":[0.004979604,0.0004477629,0.0005186497,0.001220612,0.001266017,0.004595938,0.003858033,0.002433774,0.1698952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001454959,"about_ca_system_score_gemma":0.001956432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001367358,"about_ca_topic_score_gemma":0.001858188,"domain_scores_codex":[0.9980792,0.0003753862,0.0001415794,0.0005203675,0.0006878107,0.0001956579],"domain_scores_gemma":[0.9982594,0.0002886879,0.0001596903,0.0003379947,0.0005047123,0.000449552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002246045,0.00006269423,0.001146161,0.0003918732,0.0000175237,0.0006580605,0.0008913286,0.0005267998,0.002059158,0.2523541,0.4788961,0.2627715],"study_design_scores_gemma":[0.000005176337,0.00001287186,0.0001223559,0.00005491394,0.000002885537,0.0003130617,0.00008128365,0.0002004307,0.0003870718,0.005943635,0.9928698,0.000006493758],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.004461078,0.00873345,0.03009577,0.01860193,0.01006097,0.0001934056,0.001640312,0.004429398,0.9217837],"genre_scores_gemma":[0.03190511,0.004803738,0.01583045,0.004144534,0.001157928,0.0001368519,0.001283666,0.001076596,0.9396613],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2893926,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01279458470071818,"score_gpt":0.2590283757714431,"score_spread":0.2462337910707249,"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."}}