{"id":"W2408079721","doi":"10.3233/978-1-60750-831-1-169","title":"On the Argumentative Agent Types and Negotiation","year":2011,"lang":"en","type":"book-chapter","venue":"Frontiers in artificial intelligence and applications","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; Université Laval","funders":"","keywords":"Argumentative; Negotiation; Computer science; Epistemology; Sociology; Philosophy; Social science","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":[0.0001991619,0.0001705113,0.0001658231,0.0001423729,0.0001874201,0.0001002761,0.0002707346,0.0001141844,0.00003775402],"category_scores_gemma":[0.00001019738,0.0001341209,0.00003482925,0.00007283288,0.0001113259,0.0001176767,0.00007331557,0.0001798571,0.00008647083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004424282,"about_ca_system_score_gemma":0.00002167402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002895731,"about_ca_topic_score_gemma":0.00003852257,"domain_scores_codex":[0.998991,0.0000269536,0.0003168369,0.0003990499,0.0001407396,0.0001253865],"domain_scores_gemma":[0.9993057,0.00009214153,0.0001880119,0.0003235912,0.00004169275,0.0000488261],"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":[0.000003149282,0.00001708205,0.00001576754,0.000007275222,0.00001388131,4.442416e-7,0.0009630127,0.0000169071,0.000007461534,0.8671817,0.0009799501,0.1307934],"study_design_scores_gemma":[0.00001765284,0.00004752027,0.00008942562,0.00007098242,0.00001670646,0.000001302879,0.0001972543,0.008259797,0.0005643463,0.9645835,0.02593239,0.0002191346],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0000743437,0.0006675965,0.961542,0.000583758,0.0003032896,0.0008775765,0.00001105581,0.00003198176,0.03590839],"genre_scores_gemma":[0.771542,0.01263753,0.04563491,0.00345659,0.001474073,0.00222707,0.0001765429,0.0001891893,0.1626621],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9159071,"threshold_uncertainty_score":0.5469293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06376526471637492,"score_gpt":0.2692390408010772,"score_spread":0.2054737760847023,"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."}}