{"id":"W4416000477","doi":"10.5465/amproc.2025.13770symposium","title":"An Employee-Centric Perspective on AI at Work: Insights for Optimizing Implementation and Use","year":2025,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Presentation (obstetrics); Perspective (graphical); Adaptation (eye); Technocracy; Embodied cognition; Onboarding; Perception; Cognitive reframing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0141269,0.0008014212,0.00056598,0.002702447,0.004531332,0.02591161,0.002859382,0.006227035,0.005966909],"category_scores_gemma":[0.01698176,0.0006365778,0.0007883241,0.002558399,0.02193776,0.01804685,0.005505077,0.004748295,0.001129717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01015277,"about_ca_system_score_gemma":0.01028668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01109843,"about_ca_topic_score_gemma":0.005675938,"domain_scores_codex":[0.984749,0.01007899,0.0006091591,0.00100114,0.001597708,0.001964016],"domain_scores_gemma":[0.9791343,0.01395712,0.001178952,0.001625772,0.00237253,0.001731335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004813443,0.0001925243,0.006020147,0.0003160468,0.00002625773,0.0002527501,0.04219032,0.002014137,0.0006712841,0.8872228,0.003375163,0.05767041],"study_design_scores_gemma":[0.00003656088,0.0002722634,0.01164403,0.0006816433,0.00005495415,0.0003681679,0.1127468,0.009417933,0.001279191,0.7491734,0.1142239,0.0001011414],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1457509,0.01483203,0.2286425,0.1743829,0.000619864,0.0004284348,0.0001709578,0.0004813358,0.4346911],"genre_scores_gemma":[0.9487802,0.004184292,0.03481051,0.002512037,0.000139449,0.0002494573,0.000055462,0.0001161683,0.009152387],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02591161,"threshold_uncertainty_score":0.07471108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0502326630015234,"score_gpt":0.4197941470465956,"score_spread":0.3695614840450722,"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."}}