{"id":"W7124189379","doi":"10.65109/mwzq2849","title":"Mechanism design for abstract argumentation","year":2008,"lang":"","type":"article","venue":"","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Argumentation theory; Argumentation framework; Mechanism (biology); Set (abstract data type); Relation (database); Probabilistic argumentation","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":[0.01177208,0.001928244,0.001905221,0.003142382,0.001908498,0.007890667,0.004465377,0.00589415,0.009874408],"category_scores_gemma":[0.01919414,0.001378135,0.003380342,0.002877723,0.005740185,0.009195136,0.005067385,0.00497739,0.00207027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003406368,"about_ca_system_score_gemma":0.002315299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008655088,"about_ca_topic_score_gemma":0.0005471741,"domain_scores_codex":[0.9878433,0.006132046,0.001304166,0.001622033,0.002581379,0.0005169899],"domain_scores_gemma":[0.9932969,0.003928583,0.0006601381,0.001002807,0.0008213218,0.0002902261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001265728,0.00001030699,0.00003781751,0.0001526847,0.00003310029,0.00003849409,0.00008984438,0.003899149,0.0002435258,0.9850102,0.0007643796,0.009707795],"study_design_scores_gemma":[0.00006734535,0.00002501161,0.00002702616,0.00009726332,0.00002884821,0.00009959682,0.00002030343,0.02066561,0.0004185863,0.9485072,0.03002487,0.00001827513],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001759482,0.002718353,0.9782299,0.001028041,0.0002896918,0.000294121,0.00008121449,0.0002207365,0.01537859],"genre_scores_gemma":[0.1471071,0.004165783,0.8333581,0.0008045685,0.000464646,0.002436632,0.0002522133,0.0001524764,0.01125845],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01177208,"threshold_uncertainty_score":0.06225747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1203093526715142,"score_gpt":0.2933886465834135,"score_spread":0.1730792939118993,"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."}}