{"id":"W4416359625","doi":"10.2139/ssrn.5640710","title":"Cheat, Curse, or Comply? Wearable Users' Proactive, Avoidant-Reactive, and Ameliorative-Reactive Coping with Negative Incidents","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Coping (psychology); Wearable computer; Wearable technology; Cognition; Constructive; Cheating","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001488264,0.0009306745,0.001053923,0.001316482,0.0009470481,0.0006454154,0.001820744,0.0005740133,0.00001415396],"category_scores_gemma":[0.0003456662,0.0007542759,0.0001376078,0.00150661,0.0005428198,0.002301127,0.001425194,0.01359536,0.00002032277],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.005110627,"about_ca_system_score_gemma":0.00951057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006017757,"about_ca_topic_score_gemma":0.00215549,"domain_scores_codex":[0.9937231,0.0005707025,0.0007845177,0.001476024,0.0007851222,0.002660525],"domain_scores_gemma":[0.9951387,0.0004278483,0.001593542,0.0008611015,0.001847324,0.0001314811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00746858,0.00241553,0.007404049,0.0005300466,0.01771031,0.0005272307,0.03951136,0.0009472724,0.00597554,0.8525985,0.00194276,0.0629688],"study_design_scores_gemma":[0.01212894,0.007980376,0.009485964,0.006375002,0.0009367514,0.00828075,0.03934258,0.01030188,0.05632272,0.8407617,0.002687416,0.005395946],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4117036,0.001175889,0.5735939,0.003892538,0.00133023,0.002390902,0.00003854152,0.0004839201,0.005390555],"genre_scores_gemma":[0.9800648,0.001734656,0.01161913,0.0006102169,0.0002782122,0.0003062967,0.00001888429,0.00008281842,0.005284997],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5683612,"threshold_uncertainty_score":0.9994908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01712656676180254,"score_gpt":0.2877837950535548,"score_spread":0.2706572282917523,"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."}}