{"id":"W3209131014","doi":"","title":"Practical Reasoning: A Modular Approach","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Argumentation theory; Argument (complex analysis); Computer science; Modular design; Graph; Artificial intelligence; Argument map; Theoretical computer science; Epistemology; Cognitive science; Programming language; Psychology; Philosophy","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":[0.007119066,0.001175045,0.0008116274,0.00301285,0.002473849,0.006858807,0.003989977,0.002784184,0.0174765],"category_scores_gemma":[0.01094789,0.001614523,0.003022679,0.002120058,0.008510523,0.01491628,0.009531525,0.004253561,0.004991985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002058208,"about_ca_system_score_gemma":0.002287845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00127836,"about_ca_topic_score_gemma":0.001481318,"domain_scores_codex":[0.9955514,0.002170526,0.0003305762,0.0007100639,0.000991124,0.0002463339],"domain_scores_gemma":[0.9938747,0.002521123,0.0003362991,0.002148615,0.0006977709,0.0004215071],"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":[0.00003253343,0.00004209833,0.0002894504,0.0001654491,0.00002889359,0.0001056765,0.001622993,0.003709055,0.001127478,0.9401983,0.001713079,0.05096497],"study_design_scores_gemma":[0.00003586347,0.00003782162,0.0001724202,0.0001379813,0.0000540109,0.0001903435,0.0003825789,0.0305928,0.001237154,0.9178117,0.04932165,0.00002555588],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003797929,0.0002602476,0.9731108,0.001482387,0.00005942965,0.0001718197,0.00006130159,0.000999914,0.02005626],"genre_scores_gemma":[0.1025213,0.0003794701,0.8882297,0.0002601109,0.00008221276,0.0004166033,0.0001608018,0.0003071733,0.007642634],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0174765,"threshold_uncertainty_score":0.05846471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03121907478011911,"score_gpt":0.3019707331711841,"score_spread":0.270751658391065,"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."}}