{"id":"W4387408023","doi":"10.1177/13505076231201445","title":"Generative artificial intelligence and academia: Implication for research, teaching and service","year":2023,"lang":"en","type":"article","venue":"Management Learning","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":106,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Roads University","funders":"","keywords":"Generative grammar; Artificial intelligence; Perspective (graphical); Service (business); Computer science; Service-learning; Generative model; Psychology; Pedagogy; Business","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01389045,0.0004369656,0.0005980968,0.001899211,0.007808907,0.01755425,0.001799355,0.00759301,0.004076792],"category_scores_gemma":[0.03186039,0.0002558402,0.0006540243,0.002097771,0.02606578,0.01248067,0.00439109,0.01390923,0.0007732814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006809947,"about_ca_system_score_gemma":0.007752213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001657701,"about_ca_topic_score_gemma":0.003934155,"domain_scores_codex":[0.9877144,0.006631278,0.0006185165,0.0006632524,0.003586302,0.0007863026],"domain_scores_gemma":[0.9325632,0.05541143,0.002242963,0.001660676,0.005563837,0.002557873],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001379905,0.00002222873,0.0002368802,0.0001577398,0.000005579214,0.0001346537,0.004270559,0.0003103995,0.00005910551,0.8767989,0.09728132,0.0207088],"study_design_scores_gemma":[0.000007623979,0.00001953608,0.0002366416,0.0004491589,0.000005833512,0.0001572046,0.003884169,0.0004878442,0.00009080354,0.4554432,0.539187,0.00003110795],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.002800146,0.04126994,0.005857544,0.8056594,0.08954968,0.00001906742,0.00001443689,0.00006627203,0.05476367],"genre_scores_gemma":[0.311125,0.09112979,0.009501707,0.280331,0.2683834,0.0001535655,0.00006085695,0.0002751675,0.0390394],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9861096,"threshold_uncertainty_score":0.07346064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2527284400486348,"score_gpt":0.4068192701070737,"score_spread":0.154090830058439,"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."}}