{"id":"W3037813925","doi":"10.1016/j.maturitas.2020.06.024","title":"Telemedicine for housebound older persons during the Covid-19 pandemic","year":2020,"lang":"en","type":"article","venue":"Maturitas","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; McGill University; Jewish General Hospital","funders":"Jewish General Hospital","keywords":"Medicine; Telemedicine; Coronavirus disease 2019 (COVID-19); Pandemic; Older people; Gerontology; 2019-20 coronavirus outbreak; Excellence; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Outbreak; Medical emergency; Health care; Virology; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0003974157,0.0001336453,0.0001677847,0.0004061119,0.001108293,0.0007687602,0.0002707854,0.001043148,0.009093339],"category_scores_gemma":[0.003591042,0.00007888954,0.0002451174,0.0003787603,0.000184012,0.0008933907,0.001066766,0.0009491746,0.000503626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001040762,"about_ca_system_score_gemma":0.001742912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01378541,"about_ca_topic_score_gemma":0.02357075,"domain_scores_codex":[0.999715,0.00007614719,0.00002349935,0.00002483158,0.00003713815,0.0001233004],"domain_scores_gemma":[0.9988276,0.0001899824,0.0002480981,0.00001969706,0.0001178627,0.000596666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001458929,0.001779521,0.5411118,0.0008891537,0.00009694601,0.005905658,0.006582268,0.000457578,0.001326873,0.001058108,0.06410644,0.3752267],"study_design_scores_gemma":[0.0002880011,0.002550353,0.9139596,0.002733517,0.0001356851,0.003411603,0.03581591,0.001326572,0.0004036456,0.00138305,0.03793903,0.00005305485],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9196829,0.005001998,0.000305952,0.03527943,0.0007539719,0.0001783006,0.001238791,0.00006778005,0.0374909],"genre_scores_gemma":[0.9902697,0.002772655,0.0002934281,0.003381516,0.0004652421,0.00008081326,0.0002549063,0.000007035746,0.002474747],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01378541,"threshold_uncertainty_score":0.03042024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09913934931280091,"score_gpt":0.407517477870303,"score_spread":0.308378128557502,"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."}}