{"id":"W4404001585","doi":"10.21432/cjlt28606","title":"Preparing Educators to Teach and Create With Generative Artificial Intelligence","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Learning and Technology","topic":"Neuroscience, Education and Cognitive Function","field":"Neuroscience","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"College of Education, University of Saskatchewan","keywords":"Mathematics education; Teaching method; Generative grammar; Computer science; Transfer of training; Pedagogy; Psychology; Artificial intelligence; Knowledge management","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001432322,0.00006927452,0.00008321633,0.0007817681,0.0002560176,0.0001499205,0.00007066727,0.00003940413,0.00001892359],"category_scores_gemma":[0.0006639311,0.00005642279,0.000009280407,0.0006542632,0.0002539096,0.00009815268,0.00001090298,0.000363554,0.000007170288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003523482,"about_ca_system_score_gemma":0.0004988737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000502376,"about_ca_topic_score_gemma":0.0004713795,"domain_scores_codex":[0.9993973,0.00004352484,0.000120185,0.0002107752,0.00006238314,0.0001657673],"domain_scores_gemma":[0.9995679,0.0000640544,0.00004318262,0.0000383737,0.00005804621,0.0002284767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003840664,0.00002635316,0.02139962,0.0000273574,0.00001539838,0.0003246576,0.00483278,0.0001419882,0.1597539,0.07197326,0.000513947,0.7409524],"study_design_scores_gemma":[0.0001300339,0.003457338,0.001071164,0.0005939627,0.00006824476,0.007458015,0.02537133,0.001847618,0.6262068,0.01284502,0.3203794,0.0005710925],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909307,0.0002550973,0.002581099,0.004929664,0.0004233053,0.0000562846,8.349269e-7,0.00002872258,0.0007942935],"genre_scores_gemma":[0.999062,0.00003652907,0.000195839,0.0001358521,0.00006081991,0.000003249041,7.717016e-8,0.000007425946,0.0004982078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7403812,"threshold_uncertainty_score":0.2300855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02124598166902127,"score_gpt":0.2787461964743759,"score_spread":0.2575002148053547,"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."}}