{"id":"W2060774598","doi":"10.1080/19462166.2012.708670","title":"Distinctive features of persuasion and deliberation dialogues","year":2012,"lang":"en","type":"article","venue":"Argument & Computation","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Persuasion; Deliberation; Computer science; Psychology; Political science; Social psychology; Law; Politics","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":[0.005199143,0.000546633,0.0006648195,0.001483631,0.002518296,0.005995756,0.0009233275,0.003250849,0.006366631],"category_scores_gemma":[0.0179302,0.0005287497,0.0007612116,0.001260921,0.01247104,0.007913425,0.00461362,0.002924135,0.001033475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001585819,"about_ca_system_score_gemma":0.001227345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007751022,"about_ca_topic_score_gemma":0.0003516033,"domain_scores_codex":[0.9852707,0.008757159,0.0008600409,0.001781898,0.002327467,0.001002718],"domain_scores_gemma":[0.9876061,0.008201209,0.001376828,0.001237729,0.0009376835,0.0006403248],"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":[0.00005238055,0.00001585948,0.000337135,0.00009220775,0.000007169147,0.0001673312,0.007403892,0.0005033062,0.0008641955,0.9813856,0.0005487817,0.008622161],"study_design_scores_gemma":[0.00005112125,0.0000589748,0.0008474601,0.00006682421,0.00001377366,0.000649019,0.002337403,0.004364388,0.0009162678,0.9442943,0.04636194,0.00003840317],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09971473,0.002325109,0.6127764,0.007440122,0.0003903088,0.0005900404,0.0003842686,0.001017925,0.2753612],"genre_scores_gemma":[0.9131189,0.0003178538,0.07314016,0.0004358178,0.0001803568,0.0006418004,0.0001462631,0.000168433,0.01185037],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006366631,"threshold_uncertainty_score":0.02749604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02560558168211338,"score_gpt":0.2613166062438729,"score_spread":0.2357110245617595,"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."}}