{"id":"W4389440175","doi":"10.22554/ijtel.v7i2.140","title":"GenAI on GenAI: Two Prompts for a Position Paper on What Educators Need to Know","year":2023,"lang":"en","type":"article","venue":"Irish Journal of Technology Enhanced Learning","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Position (finance); Field (mathematics); Reflection (computer programming); Process (computing); Literacy; Content (measure theory); Need to know; Computer science; Position paper; Mathematics education; Pedagogy; Engineering ethics; Public relations; Sociology; Psychology; Political science; World Wide Web; Engineering; Business; Computer security","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":[0.01525095,0.000616536,0.0004662632,0.001152399,0.003987621,0.005900512,0.001179905,0.003429109,0.01705237],"category_scores_gemma":[0.1212204,0.000361595,0.0003187253,0.0007585865,0.004112223,0.008409807,0.006577176,0.005449081,0.005002591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002224585,"about_ca_system_score_gemma":0.002802807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004677605,"about_ca_topic_score_gemma":0.001065782,"domain_scores_codex":[0.9875421,0.00826304,0.0003630877,0.0006464925,0.002601339,0.0005840249],"domain_scores_gemma":[0.851759,0.1258149,0.003795932,0.00426864,0.008777387,0.005584019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009131579,0.0003124129,0.006723884,0.001530974,0.00001871828,0.004310753,0.493354,0.000585839,0.01334117,0.08423635,0.1615371,0.2331357],"study_design_scores_gemma":[0.00008557689,0.0005785052,0.004720021,0.001222137,0.00001582428,0.0009900163,0.236131,0.001094146,0.005726986,0.03442783,0.7148773,0.0001305913],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.3761065,0.002586182,0.1800075,0.1766505,0.02089925,0.001971444,0.0009747971,0.005138231,0.2356656],"genre_scores_gemma":[0.7958528,0.001379232,0.0850054,0.02047281,0.002962838,0.001574719,0.0007874018,0.002219591,0.08974513],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.01705237,"threshold_uncertainty_score":0.08065569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01406905083265468,"score_gpt":0.3244801754498676,"score_spread":0.3104111246172129,"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."}}