{"id":"W4414761957","doi":"10.55908/sdgs.v13i9.4534","title":"THE RISE OF AI IN PROCEDURAL JURISPRUDENCE: GLOBAL INNOVATIONS, LEGAL FRAMEWORKS, AND FUTURE IMPLICATIONS","year":2025,"lang":"en","type":"article","venue":"Journal of Law and Sustainable Development","topic":"Dispute Resolution and Class Actions","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Accountability; Adversarial system; Process (computing); Transformative learning; Normative; Legal aspects of computing; Automation; Shadow (psychology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004435185,0.00007546048,0.0001250962,0.0001405864,0.0004129852,0.000258531,0.0001121957,0.00006963095,0.000004169767],"category_scores_gemma":[0.00005606264,0.00005369644,0.0000218186,0.0006768674,0.00007757072,0.0006177584,0.00009916839,0.0002290882,3.514674e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009824869,"about_ca_system_score_gemma":0.000355264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007762877,"about_ca_topic_score_gemma":0.0001216604,"domain_scores_codex":[0.9992096,0.0000076804,0.0004019281,0.000076257,0.0001248699,0.0001796735],"domain_scores_gemma":[0.9990892,0.00002155071,0.0001984053,0.00006405796,0.0006151199,0.00001169778],"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":[0.00002844927,0.00005377943,0.01052311,0.0001201546,0.00002547876,0.000004652318,0.00003879013,0.000006706948,0.000004774537,0.9744667,0.005599208,0.009128129],"study_design_scores_gemma":[0.0002700037,0.000003582435,0.1606386,0.00004836081,0.00001334824,0.000007805383,0.002996205,0.00003841609,0.000004499944,0.01745826,0.8184708,0.00005003464],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.648101,0.007280362,0.004241916,0.2252899,0.0007483503,0.0007559475,0.000002425472,0.0000327618,0.1135474],"genre_scores_gemma":[0.9964152,0.0002235017,0.0003371303,0.002239096,0.0001296094,0.00001150448,0.000001191333,0.00000292312,0.0006398424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9570085,"threshold_uncertainty_score":0.317639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004433881490708337,"score_gpt":0.2569921014090078,"score_spread":0.2525582199182995,"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."}}