{"id":"W4311195199","doi":"10.5770/cgj.25.610","title":"The Use of Telemedicine in Older-Adults During the COVID-19 Pandemic: a Weekly Cross-Sectional Analysis in Ontario, Canada","year":2022,"lang":"en","type":"article","venue":"Canadian Geriatrics Journal","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Women's College Hospital","funders":"","keywords":"Telemedicine; Medicine; Pandemic; Cross-sectional study; Health care; Coronavirus disease 2019 (COVID-19); Population; Dementia; Population ageing; Family medicine; Medical emergency; Gerontology; Environmental health; Disease","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0009641557,0.0004086821,0.0005042288,0.001613996,0.002162152,0.001461576,0.001408944,0.0007023331,0.00149787],"category_scores_gemma":[0.002754296,0.0005517098,0.001080189,0.004962426,0.0007064433,0.0006501736,0.001039191,0.0008537129,0.0002503602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02308321,"about_ca_system_score_gemma":0.0174347,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.989292,"about_ca_topic_score_gemma":0.9924718,"domain_scores_codex":[0.9988176,0.00009253404,0.0001658165,0.0001867503,0.0004267443,0.0003104225],"domain_scores_gemma":[0.9956547,0.0002500453,0.001313342,0.0001513378,0.001674779,0.0009558999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003828775,0.00002053416,0.997691,0.00003540211,0.00004535933,0.0000328001,0.000719066,0.00003236749,0.00007222345,0.00001765216,0.0004091242,0.0008861405],"study_design_scores_gemma":[0.000003195562,0.00001546739,0.9987831,0.00002058221,0.00001483395,0.00001780086,0.000779384,0.00008946519,0.0000135401,0.000003071865,0.0002548971,0.000004727931],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989244,0.0006700836,0.0001041157,0.0003292273,0.00001193839,0.0001028303,0.008252434,0.00001049801,0.001274935],"genre_scores_gemma":[0.9952149,0.000591642,0.0001967736,0.0001818603,0.00001195994,0.0000608698,0.003021502,0.000006927674,0.0007134878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02308321,"threshold_uncertainty_score":0.1674812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04954608996033835,"score_gpt":0.3144441470295062,"score_spread":0.2648980570691679,"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."}}