{"id":"W4400352540","doi":"10.1093/occmed/kqae023.1390","title":"O-389 TECHNOSTRESS, PRIVACY, AND MAKING CONNECTIONS: WOMEN, WORK AND HEALTH CONDITIONS FOR ONLINE TEACHERS","year":2024,"lang":"en","type":"article","venue":"Occupational Medicine","topic":"Technostress in Professional Settings","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Waterloo","funders":"","keywords":"Technostress; Work (physics); Psychology; Internet privacy; Computer science; Engineering; Psychiatry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001435566,0.0002001724,0.0004035569,0.001501164,0.003454695,0.002992788,0.0005609794,0.0006153012,0.01253977],"category_scores_gemma":[0.0053402,0.0002109006,0.0003964414,0.003076359,0.001459539,0.001183297,0.001614091,0.0005341397,0.000748556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005886524,"about_ca_system_score_gemma":0.01216601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3813581,"about_ca_topic_score_gemma":0.4891322,"domain_scores_codex":[0.9990368,0.0002427753,0.0001049,0.0000947137,0.0002598428,0.0002609606],"domain_scores_gemma":[0.9970347,0.00115985,0.0007247129,0.00009142517,0.0004584981,0.0005308692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001674018,0.0001485306,0.7526547,0.004821166,0.0001049393,0.001942023,0.1008044,0.00005395142,0.0007497027,0.001621195,0.01146443,0.1254676],"study_design_scores_gemma":[0.00001744162,0.0001643201,0.629308,0.007069395,0.0001478274,0.001342276,0.3101929,0.00005627582,0.0003864962,0.0005886583,0.05068647,0.00003995847],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9214428,0.0304289,0.0003465497,0.01110846,0.0002374845,0.0001577293,0.004207231,0.00002198322,0.03204884],"genre_scores_gemma":[0.977369,0.01504628,0.0002911077,0.001025078,0.0000536023,0.00008225491,0.0004307672,0.000009511469,0.005692368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3813581,"threshold_uncertainty_score":0.7582766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.072268553089872,"score_gpt":0.4603393475318623,"score_spread":0.3880707944419903,"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."}}