{"id":"W2915055038","doi":"","title":"Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1","year":2010,"lang":"en","type":"article","venue":"","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Autonomous agent; Computer science; Track (disk drive); Operations research; Multi-agent system; Artificial intelligence; Engineering","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":[0.002559021,0.001709301,0.001945574,0.001836192,0.001239347,0.008630471,0.002469175,0.002771648,0.1501116],"category_scores_gemma":[0.006360568,0.0006023458,0.001015013,0.001785247,0.00135193,0.005596492,0.003297167,0.003529861,0.07638561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001110406,"about_ca_system_score_gemma":0.002342565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001418975,"about_ca_topic_score_gemma":0.001346034,"domain_scores_codex":[0.9972529,0.0007424304,0.0002505358,0.0004639405,0.001114347,0.0001758094],"domain_scores_gemma":[0.9958754,0.001220937,0.000232416,0.0005865153,0.001496806,0.0005879243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001571196,0.0001638699,0.0006497478,0.001159984,0.00009871961,0.0002600279,0.0003034583,0.001314439,0.002455585,0.02205513,0.6606166,0.3107653],"study_design_scores_gemma":[0.00001326463,0.00004820236,0.0003537732,0.0002933789,0.00002789444,0.0002334167,0.00009860788,0.001460522,0.0004081218,0.006453894,0.9905862,0.00002261103],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006820711,0.130759,0.1542511,0.02119284,0.1258968,0.00115656,0.00291901,0.005777808,0.5512262],"genre_scores_gemma":[0.05364079,0.09458393,0.08199547,0.006657498,0.0330372,0.001230796,0.01288865,0.002669902,0.7132958],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1501116,"threshold_uncertainty_score":0.5021732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02642690136682918,"score_gpt":0.2491780527962589,"score_spread":0.2227511514294297,"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."}}