{"id":"W1999134038","doi":"10.1007/s10503-008-9110-2","title":"Reasoning from Classifications and Definitions","year":2008,"lang":"en","type":"article","venue":"Argumentation","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Winnipeg","funders":"","keywords":"Argumentation theory; Argument (complex analysis); Persuasion; Epistemology; Informal logic; Argument map; Political communication; Communication studies; Computer science; Value (mathematics); Process (computing); Sociology; Psychology; Social psychology; Social science; Philosophy; Political science; Politics; Machine learning; Law","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":[0.008988843,0.001305561,0.001438954,0.006865068,0.003063443,0.01191996,0.003191389,0.003235322,0.01354987],"category_scores_gemma":[0.0386354,0.00171891,0.003306386,0.005464901,0.006270164,0.03847826,0.008832986,0.006139901,0.002738335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002922551,"about_ca_system_score_gemma":0.001488307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002016988,"about_ca_topic_score_gemma":0.002006981,"domain_scores_codex":[0.9859366,0.008484338,0.001099031,0.001550477,0.0024386,0.0004909988],"domain_scores_gemma":[0.9773835,0.01599287,0.0008624695,0.003253025,0.002096011,0.0004122412],"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":[0.00002243724,0.00001635086,0.0002425215,0.00009326587,0.00003046077,0.0001025976,0.0008093202,0.001072173,0.0001643076,0.9814636,0.003152081,0.01283074],"study_design_scores_gemma":[0.000007592163,0.00000331991,0.00004303276,0.00006177199,0.00002021613,0.00006106193,0.0002824914,0.005947961,0.0002557079,0.9826007,0.01070861,0.000007638454],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01769635,0.001989025,0.9221864,0.008962318,0.0003999317,0.0001908383,0.001016395,0.0007599448,0.04679868],"genre_scores_gemma":[0.4445588,0.001935881,0.5334401,0.001315542,0.0004683859,0.0005044458,0.003544051,0.0004747112,0.0137581],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01354987,"threshold_uncertainty_score":0.0475381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08011628943606784,"score_gpt":0.2550434387325153,"score_spread":0.1749271492964474,"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."}}