{"id":"W4388271752","doi":"10.1016/j.jcjd.2023.10.129","title":"IMPACT OF COVID-19 PANDEMIC ON PHYSICAL ACTIVITY, SCREEN TIME AND BMI AMONG CANADIAN ADULTS","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Diabetes","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Medicine; Body mass index; Screen time; Physical activity; Obesity; 2019-20 coronavirus outbreak; Public health; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Gerontology; Demography; Physical therapy; Virology; Outbreak; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.0005897712,0.0003862127,0.0004663474,0.00100962,0.003128802,0.001594671,0.001110301,0.000995809,0.004301507],"category_scores_gemma":[0.002540425,0.0003659551,0.001456351,0.002816132,0.0005272723,0.0006629644,0.001625886,0.002850499,0.0003033437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02607448,"about_ca_system_score_gemma":0.05675756,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9963303,"about_ca_topic_score_gemma":0.9973677,"domain_scores_codex":[0.9987326,0.00004952007,0.00008088506,0.0001032171,0.0003270723,0.0007067658],"domain_scores_gemma":[0.9982533,0.00004402162,0.0002788806,0.00002905162,0.000712048,0.0006826091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001773699,0.0001050904,0.9767649,0.0001404192,0.0001628377,0.0001371725,0.0009919994,0.0001494642,0.0001060842,0.0003923938,0.01252655,0.008345804],"study_design_scores_gemma":[0.00000923079,0.00002661648,0.9944472,0.0001321156,0.00005826749,0.00003802713,0.002097948,0.00009583197,0.00001906289,0.00003918911,0.003015482,0.00002104201],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.919655,0.005983064,0.0001348201,0.0133609,0.0005628875,0.0001872078,0.03997641,0.00004211325,0.02009761],"genre_scores_gemma":[0.9853511,0.002673377,0.0002219815,0.002117488,0.00007981403,0.00005998839,0.007243515,0.0000116499,0.002241186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02607448,"threshold_uncertainty_score":0.1891845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05208863296886537,"score_gpt":0.3823301510777299,"score_spread":0.3302415181088646,"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."}}