{"id":"W4214505637","doi":"10.1017/cbo9781139600187","title":"Methods of Argumentation","year":2013,"lang":"en","type":"book","venue":"Cambridge University Press eBooks","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":105,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Argumentation theory; Field (mathematics); Epistemology; Computer science; Everyday life; Politics; Artificial intelligence; Management science; Mathematics; Political science; Philosophy; Law; Engineering","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":[0.003986971,0.001923941,0.001309689,0.003402658,0.002582137,0.01275587,0.002943913,0.004080044,0.02765868],"category_scores_gemma":[0.009904748,0.0008825828,0.001659137,0.002870207,0.009310206,0.01165808,0.005526357,0.005164577,0.01290295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004379716,"about_ca_system_score_gemma":0.002817272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001564991,"about_ca_topic_score_gemma":0.001509145,"domain_scores_codex":[0.9921672,0.003112687,0.0006215069,0.001077828,0.002728972,0.0002917916],"domain_scores_gemma":[0.996444,0.001943439,0.0001822962,0.0007635058,0.0005024567,0.0001642454],"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":[0.000005425477,0.000009205471,0.00003918653,0.0002445475,0.00001292844,0.00003695155,0.0004600103,0.0004066294,0.0001012588,0.9469473,0.01663304,0.03510341],"study_design_scores_gemma":[0.000006814663,0.000007075904,0.00005173577,0.0002721504,0.0000058968,0.0001376069,0.00014032,0.0008590208,0.0001384287,0.53988,0.4584903,0.00001067719],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.0008917238,0.04942737,0.2968353,0.008156633,0.002915038,0.0004051452,0.0004563797,0.000848364,0.6400641],"genre_scores_gemma":[0.08337475,0.0624692,0.4684356,0.005197545,0.003525583,0.001985286,0.001437557,0.0009800344,0.3725945],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02765868,"threshold_uncertainty_score":0.09252745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03228104965276325,"score_gpt":0.2570912870645943,"score_spread":0.2248102374118311,"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."}}