{"id":"W4388333366","doi":"10.3390/educsci13111109","title":"Generative Artificial Intelligence: Implications and Considerations for Higher Education Practice","year":2023,"lang":"en","type":"article","venue":"Education Sciences","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":350,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Transformative learning; Generative grammar; Engineering ethics; Competence (human resources); Equity (law); Higher education; Psychology; Sociology; Computer science; Pedagogy; Artificial intelligence; Political science; Social psychology; Engineering","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":[0.03640824,0.0005382198,0.0006577653,0.002153195,0.006958604,0.02058776,0.003251143,0.008764237,0.006250783],"category_scores_gemma":[0.03329819,0.0003897012,0.0004811741,0.001816298,0.05654173,0.01453843,0.01230377,0.01098211,0.001339628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00934706,"about_ca_system_score_gemma":0.01178483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001994985,"about_ca_topic_score_gemma":0.002979912,"domain_scores_codex":[0.9776319,0.01718814,0.0007167174,0.000982955,0.002483315,0.0009969675],"domain_scores_gemma":[0.9475698,0.04195912,0.00126897,0.003099428,0.002469998,0.003632726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000005819541,0.00002938824,0.0006150214,0.0001355441,0.000005381416,0.0001797296,0.01585854,0.0004380037,0.00005773634,0.9470824,0.008466749,0.02712575],"study_design_scores_gemma":[0.000007846837,0.00001696388,0.0002712596,0.000671955,0.0000026519,0.0002545669,0.01827519,0.0006943856,0.0001306586,0.8811587,0.0984987,0.00001714389],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.01303063,0.02244389,0.04066396,0.7990618,0.001648737,0.00007748095,0.00002671365,0.0001312777,0.1229155],"genre_scores_gemma":[0.8644123,0.02088694,0.0422896,0.05848497,0.001971639,0.0002669398,0.00004250704,0.0001549533,0.01149016],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.03640824,"threshold_uncertainty_score":0.1925474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5330349575694349,"score_gpt":0.5737615564612487,"score_spread":0.04072659889181385,"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."}}