{"id":"W4307036184","doi":"10.2196/38562","title":"Stressors and Destressors in Working From Home Based on Context and Physiology From Self-Reports and Smartwatch Measurements: International Observational Study Trial","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Technostress in Professional Settings","field":"Psychology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stressor; Context (archaeology); Logistic regression; Smartwatch; Observational study; Psychology; Gerontology; Medicine; Applied psychology; Geography; Computer science; Clinical psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.002005662,0.0007170058,0.0006647764,0.000483675,0.0009054332,0.0008392452,0.0004527002,0.0009668768,0.001651309],"category_scores_gemma":[0.002227551,0.0004390343,0.0009262136,0.0005500674,0.0006606854,0.0009301619,0.0009877924,0.0009099468,0.0005008137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003901642,"about_ca_system_score_gemma":0.0005437567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002203913,"about_ca_topic_score_gemma":0.003010369,"domain_scores_codex":[0.9990343,0.0004206588,0.0001028747,0.0002174044,0.00008171425,0.0001431247],"domain_scores_gemma":[0.9971557,0.0005353314,0.0008446337,0.0004276858,0.0002915357,0.000745032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0106984,0.01380481,0.9516811,0.0003446857,0.0005850954,0.0002498658,0.003446185,0.0001867975,0.00162054,0.00005228874,0.0007659975,0.01656428],"study_design_scores_gemma":[0.001111573,0.02126539,0.9725696,0.000084012,0.0002614119,0.0002044628,0.00268284,0.0003753566,0.0003811478,0.00006340622,0.0009543701,0.0000463593],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984885,0.0001439695,0.0002459442,0.00002342052,0.00001235385,0.0003692701,0.0002964651,0.000004148138,0.0004159232],"genre_scores_gemma":[0.9967356,0.0001791383,0.0006274296,0.00015095,0.0000530212,0.001107121,0.0007383884,0.000004414363,0.0004039137],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002203913,"threshold_uncertainty_score":0.01060712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2124117891964558,"score_gpt":0.4568274962322307,"score_spread":0.2444157070357748,"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."}}