{"id":"W2566144850","doi":"","title":"Argumentation in Multi-Agent Systems. 7th International Workshop, ArgMAS 2010, Toronto Canada","year":2011,"lang":"en","type":"article","venue":"Springer US","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Argumentation theory; Computer science; Operations research; Engineering; Epistemology; Philosophy","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":[0.004983695,0.001309936,0.001573451,0.001022035,0.001957865,0.007380078,0.002355178,0.001982616,0.02028861],"category_scores_gemma":[0.004906928,0.001313753,0.0009814191,0.001307549,0.003213417,0.004250577,0.002561598,0.002816711,0.004495214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00553629,"about_ca_system_score_gemma":0.006474376,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1058874,"about_ca_topic_score_gemma":0.1737545,"domain_scores_codex":[0.9985515,0.0006337014,0.0001007648,0.0001816654,0.0003784069,0.0001538399],"domain_scores_gemma":[0.9969572,0.001714683,0.00006450775,0.0002909852,0.0006674175,0.0003051485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000861259,0.0003262451,0.001569011,0.001346776,0.0001867349,0.0006208699,0.003074857,0.0250017,0.004943944,0.1730011,0.3322869,0.4567805],"study_design_scores_gemma":[0.0002315198,0.0001135463,0.004195794,0.001237117,0.000201463,0.0006422459,0.00172973,0.1340153,0.005789974,0.2138393,0.6378966,0.0001075474],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01909178,0.1363513,0.6778665,0.02246524,0.006499479,0.0003732853,0.001207423,0.002888554,0.1332564],"genre_scores_gemma":[0.3121614,0.05656315,0.3428679,0.0009256133,0.002593743,0.0003813486,0.003612971,0.001125792,0.2797683],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8941126,"threshold_uncertainty_score":0.2105421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05391690132820052,"score_gpt":0.2560538017673451,"score_spread":0.2021369004391446,"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."}}