{"id":"W3158419252","doi":"10.2196/27818","title":"The Impact of the COVID-19 Pandemic on Physical and Mental Health in China and Spain: Cross-sectional Study","year":2021,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":101,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute for Health Innovation and Technology, National University of Singapore","keywords":"Mental health; Anxiety; Medicine; Depression (economics); Demography; Cross-sectional study; Pandemic; Sore throat; China; Coronavirus disease 2019 (COVID-19); Psychology; Psychiatry; Geography; Disease; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002647434,0.00009489689,0.0001663193,0.00008919447,0.0007409831,0.00004864549,0.0001420165,0.00003915318,0.00005204812],"category_scores_gemma":[0.0001058729,0.00005101505,0.00005420501,0.0003975044,0.000417132,0.00007431133,0.0002333917,0.0006374083,0.000008001004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001023248,"about_ca_system_score_gemma":0.0008929083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004243423,"about_ca_topic_score_gemma":0.001492964,"domain_scores_codex":[0.9971847,0.001508328,0.000243248,0.0002292305,0.0004233757,0.0004111091],"domain_scores_gemma":[0.9984848,0.0009760737,0.00007237525,0.0002396926,0.00004368056,0.0001833776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005697471,0.0009536768,0.9321383,0.00005611063,0.00003095841,0.000002339908,0.0601494,0.000003536943,0.00003207506,0.0009486036,0.001183297,0.003931967],"study_design_scores_gemma":[0.001782446,0.001686275,0.9875057,0.00001229172,3.550398e-7,0.00002902418,0.007270394,0.00009894628,0.000004863604,0.0008021325,0.0007647279,0.00004281392],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955352,0.0002023734,0.000001612574,0.002401297,0.00009159474,0.001030078,0.00009496713,0.000006784014,0.0006360862],"genre_scores_gemma":[0.9992387,0.0001032709,4.474022e-7,0.0002369824,0.00003977765,0.00009600835,0.000007436765,0.000006712049,0.0002707058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05536744,"threshold_uncertainty_score":0.6414815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1780618810336209,"score_gpt":0.5979974117016499,"score_spread":0.419935530668029,"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."}}