{"id":"W86018437","doi":"10.3233/978-1-60750-619-5-323","title":"Pitfalls in Practical Open Multi Agent Argumentation Systems: Malicious Argumentation","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":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Argumentation theory; Computer science; Artificial intelligence; Computer security; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008777628,0.001196758,0.0009732669,0.001875295,0.002902047,0.01087365,0.002788685,0.006415774,0.004056616],"category_scores_gemma":[0.02101491,0.0009145332,0.0009923067,0.001985782,0.01327664,0.01453713,0.004952407,0.00647922,0.001572059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002177699,"about_ca_system_score_gemma":0.001351316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005470403,"about_ca_topic_score_gemma":0.0005538925,"domain_scores_codex":[0.9907601,0.005174467,0.0004496326,0.0007254394,0.00261819,0.0002721934],"domain_scores_gemma":[0.9778711,0.01769328,0.0008917233,0.001875159,0.001299598,0.0003690555],"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":[0.00001299705,0.00001953994,0.0001679135,0.0001896163,0.00001383459,0.0002919401,0.001791577,0.002103458,0.0003962636,0.9613495,0.003261585,0.03040174],"study_design_scores_gemma":[0.00000810044,0.00001714822,0.00009241579,0.0001559116,0.000009740656,0.0006713868,0.0003862236,0.01100197,0.0004448971,0.9474997,0.03969363,0.00001885661],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01171762,0.01750218,0.7801948,0.0153205,0.0007351193,0.0002118395,0.00005099669,0.0004623905,0.1738046],"genre_scores_gemma":[0.4770453,0.00952199,0.4570076,0.002288148,0.001026712,0.000434702,0.0001415675,0.0003013831,0.0522326],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01087365,"threshold_uncertainty_score":0.04642111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0917404948651068,"score_gpt":0.3484203963574732,"score_spread":0.2566799014923664,"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."}}