{"id":"W3180298001","doi":"10.47626/2237-6089-2021-0365","title":"Lifestyle predictors of depression and anxiety during COVID-19: a machine learning approach","year":2021,"lang":"en","type":"article","venue":"Trends in Psychiatry and Psychotherapy","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Instituto de Salud Carlos III; Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Anxiety; Depression (economics); Coronavirus disease 2019 (COVID-19); Psychology; 2019-20 coronavirus outbreak; Clinical psychology; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Psychiatry; Cognitive psychology; Medicine; Internal medicine; Virology; Disease","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003516046,0.0002279264,0.0003274691,0.0002740424,0.0001918812,0.00001654254,0.0001037239,0.0001921827,0.0008418587],"category_scores_gemma":[0.000005987614,0.0002146818,0.00007402174,0.0005356511,0.0001026211,0.00006840048,0.00001489019,0.0003887565,0.000001548912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003307865,"about_ca_system_score_gemma":0.0001125513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003680876,"about_ca_topic_score_gemma":0.0004788671,"domain_scores_codex":[0.9981452,0.0003008349,0.0004035048,0.000659151,0.0001527232,0.0003386361],"domain_scores_gemma":[0.9991181,0.00007204693,0.0001488582,0.000342517,0.00001220107,0.000306287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001012556,0.0007397851,0.9580431,0.000308447,0.00006932387,0.000006731452,0.006501733,0.00002754128,0.0003325059,0.00173405,0.0005099709,0.03071423],"study_design_scores_gemma":[0.01062776,0.0003983784,0.9353973,0.000122794,0.00003419664,0.0002790419,0.001369406,0.0002159931,0.00008228664,0.002047447,0.04900113,0.0004242338],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9609765,0.02834819,0.0004429945,0.001109721,0.001231838,0.0001505467,0.00003846454,0.00007392831,0.007627842],"genre_scores_gemma":[0.9828744,0.01110934,0.001208144,0.001443496,0.0002492035,0.0000503849,0.00006071348,0.00004378754,0.002960554],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04849116,"threshold_uncertainty_score":0.9217763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02699205343411676,"score_gpt":0.3687474474800763,"score_spread":0.3417553940459595,"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."}}