{"id":"W4323036592","doi":"10.5770/cgj.26.641","title":"Personalized Telehealth: Redesigning Complex Care Delivery for the 65+ During the COVID Pandemic: a Survey of Patients, Caregivers, and Health-care Providers","year":2023,"lang":"en","type":"article","venue":"Canadian Geriatrics Journal","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal General Hospital; McGill University; McGill University Health Centre","funders":"","keywords":"Telehealth; Medicine; Telemedicine; Pandemic; Context (archaeology); Health care; Nursing; Family medicine; Quality of life (healthcare); Coronavirus disease 2019 (COVID-19); Disease","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001583622,0.000132469,0.0001970852,0.0003196077,0.0007483702,0.0006192204,0.0002185263,0.00048682,0.00122048],"category_scores_gemma":[0.003913768,0.0001922528,0.0003131742,0.0004237819,0.0002699147,0.0008197692,0.0008520936,0.0005876768,0.00009806218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008338133,"about_ca_system_score_gemma":0.001557155,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008902257,"about_ca_topic_score_gemma":0.01423287,"domain_scores_codex":[0.9993441,0.0002689794,0.00008707708,0.00004897427,0.0001051315,0.0001458816],"domain_scores_gemma":[0.9984341,0.0003047208,0.0006330314,0.00004960243,0.000152859,0.0004256072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001139376,0.000415353,0.9429348,0.0002240825,0.0000405577,0.0003016993,0.0216374,0.0001098225,0.0005195338,0.00006600358,0.001986335,0.03165061],"study_design_scores_gemma":[0.00003787321,0.0007987357,0.9352459,0.0001853073,0.00003050951,0.0004857741,0.05926429,0.0003425508,0.0001135635,0.00004520457,0.003434868,0.00001538841],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988089,0.000194652,0.0000717842,0.0004197114,0.000005177629,0.00005567484,0.0001040845,0.000002610471,0.0003375871],"genre_scores_gemma":[0.9987293,0.0003993241,0.000219537,0.000375955,0.000009882402,0.00006870681,0.00008096197,0.000001113197,0.0001152955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9910977,"threshold_uncertainty_score":0.01770085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08918498218876977,"score_gpt":0.341968691770003,"score_spread":0.2527837095812332,"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."}}