{"id":"W4313041789","doi":"10.1007/978-94-007-6730-0_729-1","title":"Legal Argumentation (Informal Logic)","year":2022,"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; Computer science; Informal logic; 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":[0.001242797,0.001085943,0.0007300586,0.002037514,0.001831217,0.007161019,0.00164559,0.0027637,0.0305132],"category_scores_gemma":[0.003149537,0.0006431549,0.0009110508,0.003068355,0.005012224,0.008127626,0.002017739,0.003596558,0.01126532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003432689,"about_ca_system_score_gemma":0.001466076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002268886,"about_ca_topic_score_gemma":0.002011211,"domain_scores_codex":[0.998898,0.0004703301,0.0000682961,0.0001353339,0.0003551377,0.00007289382],"domain_scores_gemma":[0.9990383,0.000639833,0.00004278197,0.0001169555,0.0001283366,0.00003373003],"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":[0.000003318622,0.000009637009,0.00001081107,0.00008571207,0.00000244874,0.00002377593,0.0002496845,0.0002315233,0.00007868397,0.95714,0.02223435,0.0199302],"study_design_scores_gemma":[0.000004247823,0.000003610228,0.00003034571,0.000114815,0.00000337656,0.0000779884,0.00006877918,0.0006044377,0.0001071185,0.7847193,0.2142603,0.000005582093],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.0008211457,0.01596985,0.09302086,0.003645859,0.0007427828,0.00006332726,0.0002780467,0.0003382962,0.8851198],"genre_scores_gemma":[0.1668555,0.02365878,0.1085177,0.00358951,0.002618509,0.0006070799,0.001932378,0.0008459335,0.6913745],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0305132,"threshold_uncertainty_score":0.1020768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03146842355408444,"score_gpt":0.2446587371803313,"score_spread":0.2131903136262469,"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."}}