{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006198336,0.0002024243,0.0003370935,0.001381993,0.0002586964,0.0001969214,0.0008076985,0.0001800853,0.000007916519],"category_scores_gemma":[0.0008464457,0.0001817327,0.0001654537,0.0014939,0.00004384124,0.0004757429,0.0001301073,0.001037208,0.000176697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001154786,"about_ca_system_score_gemma":0.0001250729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.045236e-7,"about_ca_topic_score_gemma":7.020201e-7,"domain_scores_codex":[0.9983262,0.00008205321,0.0004230789,0.0003682738,0.0003233506,0.0004770692],"domain_scores_gemma":[0.9985895,0.0001985555,0.0004187265,0.000326508,0.0003402645,0.000126437],"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":[0.0001489384,0.0002698893,0.0003778048,0.00006118722,0.0001496469,0.0001211236,0.001385251,0.05160364,0.1163234,0.003336118,0.01816322,0.8080598],"study_design_scores_gemma":[0.008801155,0.02706758,0.00352581,0.01080659,0.000268439,0.001012653,0.01305287,0.08837377,0.5672793,0.05698232,0.2197195,0.003109988],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8538858,0.0002604008,0.0547441,0.08887501,0.001108903,0.0002523426,7.166056e-7,0.0005709822,0.0003017808],"genre_scores_gemma":[0.97689,0.0001883942,0.02072176,0.001000399,0.0003470248,0.00002087846,0.000002871866,0.00003407464,0.0007946215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8049498,"threshold_uncertainty_score":0.7410845,"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."}}