{"id":"W4391610497","doi":"10.18282/hrms.v6i2.3420","title":"Examining the impact of generative artificial intelligence on work dynamics","year":2024,"lang":"en","type":"article","venue":"Human Resources Management and Services","topic":"AI and HR Technologies","field":"Business, Management and Accounting","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"","keywords":"Generative grammar; Dynamics (music); Artificial intelligence; Work (physics); Computer science; 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":[0.008375731,0.0002726117,0.0001846817,0.001085807,0.002275523,0.005276058,0.000927123,0.0008831539,0.001863292],"category_scores_gemma":[0.02178563,0.0002576785,0.0003051929,0.0007713219,0.008235884,0.002898566,0.005135083,0.001438087,0.000175549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002336305,"about_ca_system_score_gemma":0.002499606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009924755,"about_ca_topic_score_gemma":0.001472989,"domain_scores_codex":[0.9917979,0.00605864,0.0001386105,0.0002541941,0.001196843,0.0005537852],"domain_scores_gemma":[0.9592907,0.03494725,0.002415799,0.001338213,0.001153213,0.000854862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001338644,0.0004804162,0.04769831,0.0006566524,0.00004593618,0.00110619,0.7578077,0.003838798,0.005863981,0.07856822,0.0007322982,0.1030676],"study_design_scores_gemma":[0.00004660495,0.0007269823,0.0785532,0.0008748528,0.00006952626,0.0009995082,0.8016755,0.00661561,0.006048709,0.05508662,0.04918941,0.0001135094],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.948609,0.000411509,0.01083689,0.001946017,0.00002826355,0.00009689896,0.00001473305,0.0000327173,0.03802389],"genre_scores_gemma":[0.9980112,0.0001344584,0.001265553,0.00009972014,0.000004745283,0.00002876839,0.000004951349,0.000005735521,0.000444889],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008375731,"threshold_uncertainty_score":0.04429567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04533786967693289,"score_gpt":0.2712199040038518,"score_spread":0.2258820343269189,"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."}}