{"id":"W3125897287","doi":"10.1038/s41380-021-01019-y","title":"The impact of quarantine on mental health status among general population in China during the COVID-19 pandemic","year":2021,"lang":"en","type":"article","venue":"Molecular Psychiatry","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":338,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Peking University Health Science Center; Fundamental Research Funds for the Central Universities; Canadian Institutes of Health Research; National Key Research and Development Program of China; Bijzonder Onderzoeksfonds UGent; National Natural Science Foundation of China","keywords":"Quarantine; Mental health; Pandemic; Medicine; Population; Psychological intervention; Odds ratio; Environmental health; Outbreak; Odds; Logistic regression; Isolation (microbiology); Demography; Cross-sectional study; Coronavirus disease 2019 (COVID-19); Psychiatry; Disease; Virology; Infectious disease (medical specialty); Internal medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0005663842,0.0003272272,0.0002549853,0.0006750527,0.001057113,0.0006266019,0.0005971632,0.0006538065,0.001495556],"category_scores_gemma":[0.001616795,0.0002845839,0.0005366691,0.000899557,0.0007706438,0.0007073652,0.001302697,0.001239945,0.0001084606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002249385,"about_ca_system_score_gemma":0.002963732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2187099,"about_ca_topic_score_gemma":0.2809182,"domain_scores_codex":[0.9992806,0.0001199649,0.00004624644,0.0001021739,0.00007047948,0.0003804646],"domain_scores_gemma":[0.9988117,0.00006320246,0.0003753029,0.00004940742,0.0001799767,0.000520358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006238093,0.00005044093,0.9970567,0.00001445063,0.00003502488,0.0001340515,0.0006490499,0.00004829614,0.000124769,0.00004419835,0.0002975514,0.001483147],"study_design_scores_gemma":[0.000001648445,0.00003370972,0.9988159,0.000008528324,0.000007498887,0.00001997751,0.0009327707,0.00005667174,0.000008941299,0.00001837381,0.00009260009,0.000003388424],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984263,0.0001769237,0.0000187808,0.0005198294,0.00002526312,0.00001090857,0.0003070241,0.000001906134,0.0005131088],"genre_scores_gemma":[0.9993411,0.0001018286,0.00001258122,0.0001358353,0.00001287693,0.00000490881,0.0002090833,8.068794e-7,0.0001809916],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2187099,"threshold_uncertainty_score":0.4348738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225095025539881,"score_gpt":0.4076633789436537,"score_spread":0.3851538763896656,"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."}}