{"id":"W4360800597","doi":"10.5281/zenodo.7766290","title":"Changes in socioeconomic resources and mental health after the second COVID-19 wave (2020–2021): a longitudinal study in Switzerland","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Department of Epidemiology, Biostatistics and Occupational Health, McGill University; Hôpitaux Universitaires de Genève; Johns Hopkins Bloomberg School of Public Health; Université de Fribourg; Universität Konstanz; University of Bern; Universität Basel; McGill University; Canton de Neuchâtel; Université de Lausanne; Université de Genève; Inselspital, Universitätsspital Bern; Universität Zürich; Johns Hopkins University","keywords":"Coronavirus disease 2019 (COVID-19); Socioeconomic status; Mental health; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Longitudinal study; Pandemic; Medicine; Environmental health; Demography; Geography; Virology; Psychiatry; Sociology; Population; Internal medicine; Outbreak","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":[0.0008964242,0.0004479536,0.0002827982,0.0005501342,0.0007393397,0.0009412635,0.0003670508,0.0008648913,0.001730417],"category_scores_gemma":[0.0009881636,0.0003033795,0.0005839465,0.0007234546,0.0003041722,0.0006833649,0.0007739164,0.0009645319,0.0004799787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008072435,"about_ca_system_score_gemma":0.0006658797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05748611,"about_ca_topic_score_gemma":0.07587468,"domain_scores_codex":[0.9996254,0.00007791529,0.0000216378,0.00007517826,0.00006028468,0.0001394263],"domain_scores_gemma":[0.9993461,0.00005065723,0.0002221468,0.00004568528,0.0001082556,0.0002271084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001457982,0.00009664879,0.9976872,0.000009696514,0.0000413857,0.0001088884,0.0004535715,0.00003786785,0.0001506481,0.0000133661,0.0003065841,0.0009481937],"study_design_scores_gemma":[0.000002876368,0.00006302816,0.9993932,0.000005565927,0.000006238901,0.00002855714,0.00032248,0.00005770093,0.00001244625,0.000004476321,0.0001004643,0.00000298982],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986513,0.0001178491,0.00004471933,0.00007951674,0.000009905239,0.0000155968,0.0008112877,0.000002558815,0.0002673327],"genre_scores_gemma":[0.998441,0.00007467443,0.0000454315,0.00004258475,0.00001049563,0.00003439683,0.001003276,0.000001769685,0.0003463395],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05748611,"threshold_uncertainty_score":0.114303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08667187772558173,"score_gpt":0.3662454754642165,"score_spread":0.2795735977386348,"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."}}