{"id":"W7128178388","doi":"10.23977/jaip.2025.080302","title":"A Study of Innovative Teaching Pathways in AIGC-Enabled Business Programmes--Take the Tax Law Course as an Example","year":2025,"lang":"","type":"article","venue":"Journal of Artificial Intelligence Practice","topic":"Educational Assessment and Pedagogy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Course (navigation); Tax law; Work (physics); Commercial law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002859089,0.0002031399,0.0002338112,0.001063008,0.00446978,0.004938847,0.001348999,0.001323702,0.007626113],"category_scores_gemma":[0.008487642,0.0002301409,0.0002127832,0.001406812,0.001917073,0.002683279,0.003150022,0.002474576,0.0007657606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00645571,"about_ca_system_score_gemma":0.008488365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01942599,"about_ca_topic_score_gemma":0.03576593,"domain_scores_codex":[0.9980363,0.001014254,0.00004048217,0.0001602162,0.0002823868,0.0004664064],"domain_scores_gemma":[0.9922109,0.003443018,0.0005176984,0.0002354089,0.0007099618,0.002883124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.001328574,0.04400843,0.18916,0.000508463,0.00005059079,0.002269917,0.4403784,0.002320794,0.005052531,0.1059668,0.005674371,0.2032813],"study_design_scores_gemma":[0.0004777637,0.003648462,0.1930611,0.0004180274,0.00004472546,0.0003554723,0.7245095,0.003297219,0.003181459,0.01290255,0.05803733,0.00006633259],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9843163,0.00004987848,0.0004063182,0.0005596058,0.00001320947,0.0001695366,0.00003636871,0.000007666574,0.01444112],"genre_scores_gemma":[0.9923279,0.00008844457,0.001178386,0.0001399772,0.000004309599,0.0001867011,0.00004513194,0.000005633855,0.006023607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01942599,"threshold_uncertainty_score":0.04683965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1740671079999992,"score_gpt":0.4772392351667187,"score_spread":0.3031721271667196,"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."}}