{"id":"W4401797974","doi":"10.1007/s42979-024-03138-z","title":"(Un)employment of AI in Higher Education","year":2024,"lang":"en","type":"article","venue":"SN Computer Science","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Scopus; Higher education; Inclusion (mineral); Web of science; Psychology; Valence (chemistry); Sociology; Political science; Marketing; Social science; Business; Economics; Economic growth","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":[0.001660329,0.0000873661,0.0001262996,0.001130299,0.002016129,0.002651199,0.0006197654,0.001052743,0.01625735],"category_scores_gemma":[0.003721937,0.00007585953,0.000165501,0.001961486,0.001095781,0.001704996,0.001818679,0.001057586,0.00232828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001663327,"about_ca_system_score_gemma":0.003469914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01528583,"about_ca_topic_score_gemma":0.02761357,"domain_scores_codex":[0.9986272,0.0003400268,0.00008013364,0.0001167827,0.000199828,0.0006360697],"domain_scores_gemma":[0.9964957,0.0007243342,0.0007175308,0.0001291961,0.0005926812,0.001340666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004688114,0.000841841,0.4205959,0.0006208228,0.00003231495,0.0005994157,0.01981859,0.0005197935,0.003656058,0.1018717,0.03353659,0.4174381],"study_design_scores_gemma":[0.00002878862,0.0005200629,0.6937507,0.0009911073,0.0000429798,0.0006640611,0.0492922,0.001501472,0.002019658,0.01481006,0.2363402,0.00003868469],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7944112,0.006959002,0.0006191297,0.03470204,0.001698118,0.00002972543,0.001096435,0.00004245749,0.1604418],"genre_scores_gemma":[0.9688794,0.002261173,0.0001618754,0.002124935,0.0005366181,0.00002423448,0.0001995392,0.000008319163,0.025804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01625735,"threshold_uncertainty_score":0.05438626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02084164387292808,"score_gpt":0.2962810863744502,"score_spread":0.2754394425015221,"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."}}