{"id":"W4415127153","doi":"10.1080/0144929x.2025.2570389","title":"Cheat, curse, or comply? Wearable users’ proactive, avoidant-reactive, and ameliorative-reactive coping with negative incidents","year":2025,"lang":"en","type":"article","venue":"Behaviour and Information Technology","topic":"Technostress in Professional Settings","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Coping (psychology); Wearable computer; Wearable technology; Coping behavior","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":[0.001969522,0.000251388,0.0001668479,0.0005338378,0.0008859095,0.002104055,0.0003246252,0.0006313592,0.001381689],"category_scores_gemma":[0.007368643,0.0002041798,0.0002834288,0.000423807,0.001380818,0.00138221,0.00131536,0.0005938621,0.0002183719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003740887,"about_ca_system_score_gemma":0.0003419637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001322765,"about_ca_topic_score_gemma":0.002681599,"domain_scores_codex":[0.9989874,0.0006039212,0.00006535555,0.00009045217,0.0001271984,0.0001256708],"domain_scores_gemma":[0.9971234,0.001533356,0.0007485289,0.000205683,0.0001850567,0.0002039916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002638529,0.0002124845,0.3724818,0.0003280466,0.00008330411,0.0007353845,0.5348218,0.0001827103,0.005227503,0.001999415,0.0009995564,0.08266413],"study_design_scores_gemma":[0.00001561377,0.0004669358,0.3940153,0.000273546,0.00005840968,0.001193822,0.5911207,0.0009322111,0.001406643,0.001287605,0.009148045,0.00008120618],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965476,0.000217925,0.0009506588,0.0002453032,0.00001131308,0.00001390329,0.00001997437,0.000008539174,0.001984863],"genre_scores_gemma":[0.9989806,0.0001335214,0.0003012298,0.00006202413,0.000003846375,0.00001172951,0.0000146902,0.000003540096,0.0004888089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002104055,"threshold_uncertainty_score":0.01041591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01211263821703019,"score_gpt":0.3138066797164915,"score_spread":0.3016940414994613,"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."}}