{"id":"W4389784516","doi":"10.1007/978-94-007-6519-1_729","title":"Legal Argumentation: Informal Logic","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Argumentation theory; Informal logic; Computer science; Epistemology; 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":[0.001183439,0.001034562,0.0006771481,0.001909991,0.001979379,0.007012907,0.001481666,0.002275751,0.02814717],"category_scores_gemma":[0.003199466,0.0006762961,0.0006295639,0.002478245,0.005822104,0.009468377,0.001925067,0.003786141,0.008901336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002999179,"about_ca_system_score_gemma":0.001465479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001302591,"about_ca_topic_score_gemma":0.001550857,"domain_scores_codex":[0.9990832,0.0004015154,0.000051881,0.00009647808,0.0003095583,0.00005739166],"domain_scores_gemma":[0.9988518,0.0007711276,0.00005053839,0.0001277212,0.000153164,0.00004573669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000263156,0.000009017886,0.000008160559,0.00005199387,0.000001616392,0.0000131723,0.0002630195,0.0002311867,0.0000519409,0.968751,0.01727911,0.01333727],"study_design_scores_gemma":[0.000003450226,0.000003120312,0.00001792252,0.00008907972,0.00000254271,0.00004284449,0.00007877498,0.0007144087,0.00008599913,0.8521492,0.1468081,0.000004501012],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001236029,0.01076374,0.1260152,0.00535428,0.0007883187,0.00006479748,0.0001698432,0.0002718765,0.855336],"genre_scores_gemma":[0.1626557,0.0161396,0.06779145,0.002624005,0.002610339,0.0004753156,0.0009696335,0.0007385642,0.7459954],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02814717,"threshold_uncertainty_score":0.09416163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0458052564037508,"score_gpt":0.2598685058028231,"score_spread":0.2140632493990723,"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."}}