{"id":"W3034527728","doi":"10.1002/oby.22935","title":"Collateral Damage of the COVID‐19 Pandemic on Nutritional Quality and Physical Activity: Perspective from South Korea","year":2020,"lang":"en","type":"article","venue":"Obesity","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Pandemic; Social distance; Medicine; Environmental health; Obesity; Coronavirus disease 2019 (COVID-19); Government (linguistics); Diabetes mellitus; Coronavirus; Middle East respiratory syndrome coronavirus; Disease; Gerontology; Demography; Infectious disease (medical specialty); Internal medicine","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":[0.0001211222,0.00009756802,0.0002071873,0.00001314015,0.00012283,0.00000708791,0.0001022374,0.00006324137,0.0001638702],"category_scores_gemma":[0.00006430742,0.00007558506,0.00007440796,0.00009495454,0.0001497936,0.00002988592,0.00007767527,0.000215597,0.00002480195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002383471,"about_ca_system_score_gemma":0.0001558997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004919556,"about_ca_topic_score_gemma":0.0001954685,"domain_scores_codex":[0.9989597,0.0003324348,0.00009076318,0.0003132135,0.0001677258,0.0001361307],"domain_scores_gemma":[0.9992014,0.0003285256,0.0000865875,0.0001853619,0.00002188662,0.0001762883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001196484,0.000814516,0.9576873,0.00006172566,0.00004912981,0.000005561036,0.0272743,0.000001370829,0.002544849,0.009291261,0.0006696465,0.0004039273],"study_design_scores_gemma":[0.001344767,0.0001601575,0.9915803,0.000008103525,0.00001953168,0.000001259473,0.001985272,0.00003692399,0.0003212153,0.003821518,0.0006352472,0.00008568405],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916272,0.00002027247,0.00005110597,0.005617958,0.0000938757,0.0002578176,0.0008386484,0.00002965141,0.001463432],"genre_scores_gemma":[0.9957544,0.000002853107,0.000007818057,0.00396414,0.0001546864,0.000007771082,0.00001040286,0.000006116636,0.00009186048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03389309,"threshold_uncertainty_score":0.7436929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1691188638492305,"score_gpt":0.4397863237509746,"score_spread":0.2706674599017441,"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."}}