{"id":"W4293060978","doi":"10.21203/rs.3.rs-1793809/v1","title":"Work environment disruption and its impact on the workers’ mental wellbeing: An analysis of anxiety and stress in remote e-workers during covid-19 pandemic in India","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Innovation Cluster (Canada)","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Anxiety; Mental health; Psychology; Work (physics); Mental stress; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Stress (linguistics); Psychiatry; Medicine; Virology; Engineering","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":[0.0003429073,0.0002270213,0.0002539716,0.0004287693,0.001425519,0.001110634,0.0004290947,0.0006215528,0.001484917],"category_scores_gemma":[0.001080962,0.0002742127,0.0005304615,0.0008456438,0.0006690143,0.0004400661,0.001292053,0.001386325,0.0002506643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008384746,"about_ca_system_score_gemma":0.001265092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03810452,"about_ca_topic_score_gemma":0.06521621,"domain_scores_codex":[0.999613,0.00008294877,0.0000253132,0.00003986965,0.00004172187,0.0001972805],"domain_scores_gemma":[0.9991502,0.0001530778,0.0002289685,0.00003332675,0.0001216392,0.0003129428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001506011,0.0002149476,0.9649398,0.00008912342,0.00006885053,0.0009425802,0.02780032,0.0001027807,0.00063913,0.00009810124,0.0004692421,0.004484516],"study_design_scores_gemma":[0.000001293688,0.0001054062,0.949186,0.00002755926,0.00001536592,0.0001208746,0.05008412,0.0000480483,0.00003697651,0.00002802154,0.0003369726,0.000009293452],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991572,0.00009206816,0.0000320047,0.000171249,0.0000107176,0.000008540551,0.0001033282,9.757546e-7,0.000423951],"genre_scores_gemma":[0.9993712,0.0001417793,0.00003628793,0.00005948857,0.00001156333,0.00001075548,0.00008254036,0.000001092707,0.0002852751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03810452,"threshold_uncertainty_score":0.07576549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09557826722279951,"score_gpt":0.4786767684244118,"score_spread":0.3830985012016123,"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."}}