{"id":"W2134303121","doi":"10.1007/s10458-005-1729-x","title":"Towards a Formal and Implemented Model of Argumentation Schemes in Agent Communication","year":2005,"lang":"en","type":"article","venue":"Autonomous Agents and Multi-Agent Systems","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":75,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Winnipeg","funders":"Leverhulme Trust","keywords":"Argumentation theory; Computer science; Flexibility (engineering); Scope (computer science); Focus (optics); Defeasible reasoning; Computational model; Artificial intelligence; Probabilistic argumentation; Theoretical computer science; Programming language; Human–computer interaction; Epistemology; Mathematics","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":[0.0007981152,0.0002320845,0.0003511543,0.0002370901,0.000169851,0.0001489498,0.0003426344,0.00009459502,0.000006698844],"category_scores_gemma":[0.00001389443,0.0002160871,0.0000550086,0.0001570277,0.00004710917,0.001001721,0.0002970042,0.00009914036,0.000006636465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001707121,"about_ca_system_score_gemma":0.00006029568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001017632,"about_ca_topic_score_gemma":0.0001858476,"domain_scores_codex":[0.9979007,0.0001471373,0.0008892698,0.0004169334,0.0002954665,0.0003504548],"domain_scores_gemma":[0.9988296,0.00002841709,0.0004467036,0.0004819526,0.00008561425,0.0001277032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001286359,0.003413392,0.1040219,0.002438713,0.0007083629,0.00001967371,0.08817126,0.1066911,0.0425211,0.1257887,0.001859298,0.5242378],"study_design_scores_gemma":[0.001967027,0.0000479207,0.02404723,0.0001118825,0.00001489602,0.000008226493,0.0003916218,0.9699677,0.0008836874,0.0000157733,0.002325514,0.0002185074],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6461194,0.001016802,0.3512713,0.0002287363,0.0001634368,0.001002827,0.0000220422,0.00006123529,0.0001142399],"genre_scores_gemma":[0.9776366,0.000451515,0.02137611,0.00009287415,0.00002494046,0.0001197935,0.00003564429,0.00001476359,0.0002477574],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8632766,"threshold_uncertainty_score":0.8811775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05220766229072504,"score_gpt":0.3052295429635948,"score_spread":0.2530218806728697,"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."}}