{"id":"W4410924518","doi":"10.1007/978-3-031-93567-1_8","title":"Artificial Human Lecturers: Initial Findings from Asia’s First AI Lecturers in Class to Promote Innovation in Education","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"AI in Service Interactions","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Class (philosophy); Computer science; Mathematics education; Artificial intelligence; Multimedia; Psychology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008415668,0.0007074731,0.0006673492,0.00517588,0.000331881,0.0009776088,0.003398651,0.0006519667,0.00005014492],"category_scores_gemma":[0.0004133074,0.0007724683,0.0001034602,0.004772264,0.0002613103,0.001254951,0.001197723,0.002092081,0.00005401854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002053999,"about_ca_system_score_gemma":0.002130109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001056284,"about_ca_topic_score_gemma":0.01585822,"domain_scores_codex":[0.9945306,0.00007140222,0.00137695,0.002236039,0.0009736567,0.0008114162],"domain_scores_gemma":[0.9971387,0.0004675982,0.0003560431,0.001400718,0.0005069607,0.0001299745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006780247,0.0004552041,0.0008482996,0.000131312,0.00003426309,0.0001764071,0.01545923,0.07245047,0.004188661,0.07482505,0.001061406,0.8303019],"study_design_scores_gemma":[0.0006643948,0.0005852902,0.003415781,0.004857844,0.00002433489,0.0000592658,0.000008866525,0.1954509,0.02036034,0.7578588,0.01419664,0.002517512],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01637741,0.00006266197,0.9596451,0.01493785,0.004895675,0.001231342,0.00001437141,0.0001617653,0.002673838],"genre_scores_gemma":[0.859009,0.000002998784,0.1278836,0.01174987,0.0008781685,0.000114182,0.00008580982,0.00005481602,0.0002214974],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8426316,"threshold_uncertainty_score":0.9994726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02195723022744765,"score_gpt":0.3092739124697496,"score_spread":0.2873166822423019,"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."}}