{"id":"W3213020484","doi":"10.47470/0044-197x-2021-65-5-432-439","title":"The specifics of the physiological stress of the population in self-isolation due to the COVID-19 pandemic","year":2021,"lang":"en","type":"article","venue":"Health Care of the Russian Federation","topic":"Human Health and Disease","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pandemic; Population; Coronavirus disease 2019 (COVID-19); Isolation (microbiology); Psychology; Medicine; Stress (linguistics); Clinical psychology; Audiology; Gerontology; Demography; Disease; Internal medicine; Environmental health; Infectious disease (medical specialty)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005750899,0.0001055301,0.0002404308,0.00002518252,0.0007864169,0.00001905376,0.0002012024,0.00008726046,0.0000159609],"category_scores_gemma":[0.0006982943,0.00004246274,0.000132426,0.0003403739,0.00006674897,0.00003393548,0.00008054187,0.0002594609,0.000001195574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003862172,"about_ca_system_score_gemma":0.001264325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005847426,"about_ca_topic_score_gemma":0.006056087,"domain_scores_codex":[0.9976742,0.0009094446,0.0006121425,0.0001777384,0.00042542,0.0002010586],"domain_scores_gemma":[0.9984725,0.0002097119,0.000443503,0.0006448581,0.0001035658,0.000125822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00144397,0.0006431483,0.8929193,0.00398317,0.00006386037,0.000003269274,0.02907367,0.01040597,0.001055048,0.04227327,0.009347715,0.008787626],"study_design_scores_gemma":[0.000576112,0.00009660388,0.9940759,0.0001962971,0.00002573945,0.000006894758,0.001860794,0.0007562259,0.0002908155,0.0006659293,0.001401252,0.00004743577],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.893589,0.001126674,0.0001058093,0.1024591,0.0004934016,0.001846919,0.00006107612,0.0000172178,0.0003007473],"genre_scores_gemma":[0.9935958,0.00009637637,0.00005001571,0.005950036,0.0001824923,0.0000278774,0.00004153084,0.000008990466,0.00004688693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1011566,"threshold_uncertainty_score":0.6048562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04560556842182864,"score_gpt":0.3548985508318709,"score_spread":0.3092929824100422,"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."}}