{"id":"W4281689595","doi":"10.1101/2022.05.26.22275645","title":"How is the COVID-19 pandemic impacting our life, mental health, and well-being? Design and preliminary findings of the pan-Canadian longitudinal COHESION Study","year":2022,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre intégré de santé et de services sociaux de Chaudière-Appalaches; Université du Québec à Rimouski; Government of Canada; Public Health Agency of Canada; Université de Sherbrooke; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Université de Montréal","funders":"Government of Canada; Public Health Agency of Canada","keywords":"Loneliness; Mental health; Pandemic; Anxiety; Psychology; Gerontology; Population; Context (archaeology); Social isolation; Medicine; Coronavirus disease 2019 (COVID-19); Environmental health; Geography; Psychiatry; Disease","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.007096617,0.0009226996,0.0007735718,0.001485636,0.01186003,0.002002259,0.00250404,0.0007710496,0.00248673],"category_scores_gemma":[0.005357395,0.0009891324,0.00177292,0.003413428,0.002200557,0.0009450188,0.002771651,0.001700747,0.000333813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04440353,"about_ca_system_score_gemma":0.0691309,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9852977,"about_ca_topic_score_gemma":0.9922588,"domain_scores_codex":[0.9956244,0.001100924,0.0002048116,0.0006524732,0.000967011,0.001450334],"domain_scores_gemma":[0.9960951,0.0003008684,0.0004370463,0.0002525537,0.001805067,0.001109299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002100591,0.002565278,0.9165255,0.0005443551,0.0003340627,0.0003803953,0.02752714,0.0006136108,0.0009800737,0.001599488,0.01150172,0.03532773],"study_design_scores_gemma":[0.0003174239,0.0009949089,0.967887,0.0001921121,0.0001446366,0.00003996891,0.02192651,0.0003547149,0.0002650967,0.0003097149,0.007477135,0.00009073311],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9750251,0.0007287259,0.001010406,0.000939196,0.00008660332,0.01114712,0.006759432,0.00002311406,0.00428021],"genre_scores_gemma":[0.9610235,0.0008045859,0.005849952,0.001281681,0.00005761025,0.01997877,0.006187301,0.00001878773,0.004797765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04440353,"threshold_uncertainty_score":0.3221717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0976962137985386,"score_gpt":0.3792165414421992,"score_spread":0.2815203276436606,"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."}}