{"id":"W26524680","doi":"10.3233/978-1-60750-619-5-403","title":"Argumentation Mechanism Design for Preferred Semantics","year":2010,"lang":"en","type":"book-chapter","venue":"Frontiers in artificial intelligence and applications","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Argumentation theory; Mechanism (biology); Computer science; Semantics (computer science); Programming language; Linguistics; Epistemology; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003244783,0.0002137112,0.0002520923,0.0002392183,0.0002048325,0.0001538884,0.0004038312,0.0003018871,0.00001049256],"category_scores_gemma":[0.00001307538,0.0002287887,0.00006737073,0.00007722159,0.00005904385,0.000191689,0.00005875017,0.0002173164,0.00003143527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005010467,"about_ca_system_score_gemma":0.00005558576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007408397,"about_ca_topic_score_gemma":0.00003064027,"domain_scores_codex":[0.9985868,0.00001638305,0.0005086778,0.0005282704,0.0001679721,0.0001919406],"domain_scores_gemma":[0.9990664,0.00008184802,0.0002655445,0.0004150021,0.0001006309,0.00007061943],"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":[0.000005702887,0.00002677987,0.000002294691,0.00003200055,0.0000143561,3.491574e-7,0.0002596876,0.00009802893,0.000699605,0.8817776,0.0003554139,0.1167281],"study_design_scores_gemma":[0.00003286261,0.00004063841,0.000002857668,0.00004634766,0.00002310428,0.000001558673,0.00005336075,0.08811821,0.01324478,0.8687435,0.02942555,0.0002672531],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000005370739,0.0001689375,0.9947366,0.0002809486,0.0007090999,0.002169968,0.00002239606,0.00006277212,0.001843932],"genre_scores_gemma":[0.01874553,0.0007969682,0.9496738,0.000195109,0.000674767,0.001930333,0.0001596004,0.00007159463,0.02775235],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1164609,"threshold_uncertainty_score":0.9329734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0827788078829126,"score_gpt":0.2926106173064457,"score_spread":0.2098318094235331,"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."}}