{"id":"W4404445046","doi":"10.1108/ebhrm-05-2024-0159","title":"Breeding distrust during artificial intelligence (AI) era: how technological advancements, job insecurity and job stress fuel organizational cynicism?","year":2024,"lang":"en","type":"article","venue":"Evidence-based HRM a Global Forum for Empirical Scholarship","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Acsenda School of Management; University of the Fraser Valley","funders":"","keywords":"Cynicism; Distrust; Job insecurity; Job stress; Management; Public relations; Psychology; Business; Artificial intelligence; Political science; Knowledge management; Engineering; Computer science; Social psychology; Job satisfaction; Economics; Work (physics); Law; Mechanical 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":[0.001578605,0.0002527632,0.0003121405,0.0006898498,0.001253487,0.002352091,0.0002844658,0.0005596085,0.001735674],"category_scores_gemma":[0.005404157,0.0002068999,0.0004102067,0.0004060448,0.0008320002,0.0008921229,0.001213494,0.00106349,0.0002174588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008060091,"about_ca_system_score_gemma":0.00128274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002370917,"about_ca_topic_score_gemma":0.005237135,"domain_scores_codex":[0.9991401,0.000314422,0.00006460388,0.00007782957,0.0002199736,0.000182998],"domain_scores_gemma":[0.9945523,0.001390772,0.002542687,0.0002233159,0.0003558786,0.0009350213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001256839,0.0005376805,0.943783,0.0001360157,0.00006921991,0.0003954919,0.02209036,0.0001416649,0.002068163,0.0004590062,0.0003975646,0.02979608],"study_design_scores_gemma":[0.000005931339,0.0002400272,0.9809264,0.0001040322,0.00003287791,0.0002866034,0.01610926,0.0003731773,0.0003834821,0.000557049,0.0009640965,0.00001700716],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978104,0.0005454401,0.000198447,0.0003943151,0.00001778422,0.000008252978,0.00001305925,0.00000242342,0.001009867],"genre_scores_gemma":[0.9991811,0.0002492335,0.0001239161,0.0001111486,0.00001085426,0.000007846352,0.00001636326,0.000001255255,0.0002982829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002370917,"threshold_uncertainty_score":0.008348525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1387710980181153,"score_gpt":0.4369789997601526,"score_spread":0.2982079017420374,"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."}}