{"id":"W4391481250","doi":"10.1111/jlse.12146","title":"Artificial Intelligence: The Future of Pedagogy","year":2024,"lang":"en","type":"article","venue":"Journal of Legal Studies Education","topic":"Legal Education and Practice Innovations","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Generative grammar; Narrative; Focus (optics); Engineering ethics; Computer science; Knowledge management; Pedagogy; Sociology; Psychology; Artificial intelligence; Engineering; Linguistics","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":[0.01472018,0.0006158067,0.0008019269,0.002867895,0.003353119,0.01523052,0.001649877,0.006071235,0.009741858],"category_scores_gemma":[0.01435464,0.0002975179,0.0004468475,0.001655509,0.03149085,0.01730542,0.005025375,0.008720732,0.001491007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008057729,"about_ca_system_score_gemma":0.009621577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003130428,"about_ca_topic_score_gemma":0.002838258,"domain_scores_codex":[0.9918007,0.006214217,0.0001870003,0.0004285767,0.001018442,0.0003509605],"domain_scores_gemma":[0.9764431,0.01896479,0.0006629005,0.001273262,0.001426977,0.00122894],"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":[0.00001220844,0.00003964969,0.0002905273,0.0002048871,0.000006214007,0.00002748686,0.001856475,0.0004279956,0.00006307264,0.9462558,0.007831937,0.04298374],"study_design_scores_gemma":[0.00001030588,0.00001888584,0.0002322268,0.0007255979,0.000003327533,0.00004450077,0.00235278,0.0007931629,0.00007623454,0.8552607,0.1404687,0.00001362238],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.007044943,0.160712,0.02367875,0.6284089,0.003105269,0.0000501559,0.00005156093,0.000203614,0.1767447],"genre_scores_gemma":[0.7074023,0.1681864,0.03835022,0.04623866,0.007541533,0.0004137766,0.00008940968,0.0001532505,0.03162445],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01523052,"threshold_uncertainty_score":0.07784873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09088942209647546,"score_gpt":0.5082015189304274,"score_spread":0.417312096833952,"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."}}