{"id":"W4412533948","doi":"10.1332/29767202y2025d000000029","title":"Perceived surveillance and technostress among older employees","year":2025,"lang":"en","type":"article","venue":"Journal of global ageing.","topic":"Technostress in Professional Settings","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Technostress; Psychology; Internet privacy; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009458578,0.0001265512,0.0001480249,0.0005381531,0.000257282,0.000584952,0.0001274671,0.0002786076,0.0009371922],"category_scores_gemma":[0.00426446,0.0001045733,0.0002219414,0.0003702371,0.00027169,0.0003025621,0.0005301269,0.0003642885,0.00009151617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001979553,"about_ca_system_score_gemma":0.0001975446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002552591,"about_ca_topic_score_gemma":0.003729902,"domain_scores_codex":[0.9996431,0.0001157513,0.00005043162,0.00003104769,0.0001004616,0.00005920361],"domain_scores_gemma":[0.9967623,0.0008943425,0.001483554,0.000131577,0.0003136105,0.0004147535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003904936,0.00005480687,0.9926118,0.00002109331,0.00001961249,0.00004291776,0.002108034,0.00001836378,0.0002045728,0.00002450942,0.00005186141,0.004803373],"study_design_scores_gemma":[9.557845e-7,0.00006547277,0.9976907,0.00001384951,0.0000073003,0.00004874389,0.001961228,0.00004137859,0.00002892583,0.00001822526,0.0001211413,0.00000207385],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994895,0.0001582791,0.00003314384,0.00004072957,0.000002727126,0.000001811179,0.00001613179,4.557042e-7,0.0002571037],"genre_scores_gemma":[0.9997717,0.00008946224,0.00002352478,0.0000159723,0.000004026579,0.000001520273,0.00001645127,2.133231e-7,0.00007720773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002552591,"threshold_uncertainty_score":0.005075395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006994620651983208,"score_gpt":0.3163915812300397,"score_spread":0.3093969605780565,"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."}}