{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001370033,0.0001607303,0.0003444224,0.0003889392,0.001396444,0.00005683559,0.0001549691,0.00007035507,0.00003486139],"category_scores_gemma":[0.0005107581,0.0001086248,0.00008338953,0.0006241146,0.0001085663,0.0000728243,0.00002470804,0.0003408094,8.682717e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001112845,"about_ca_system_score_gemma":0.004396087,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1098945,"about_ca_topic_score_gemma":0.1482594,"domain_scores_codex":[0.9979746,0.0002284152,0.0005829592,0.0002088172,0.0003726448,0.0006325195],"domain_scores_gemma":[0.9972515,0.0005465977,0.0004374738,0.0001815525,0.0008334895,0.0007494407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003648035,0.00000659622,0.8450794,0.001184458,0.0001042907,0.00001900649,0.03235302,0.00001730374,0.00001118542,0.00001562512,0.08035419,0.04049014],"study_design_scores_gemma":[0.004496079,0.0004805543,0.8763211,0.00004779336,0.00009588031,0.00008183038,0.04890977,0.00005965303,0.000002353847,0.000005070487,0.06939286,0.0001070396],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9675793,0.009711981,0.0002171771,0.01795641,0.0005430376,0.002824728,0.001104984,0.00003998011,0.00002242559],"genre_scores_gemma":[0.9939876,0.002073364,0.000229539,0.002728096,0.0003097944,0.00003907998,0.0005664367,0.00003312191,0.00003301874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0403831,"threshold_uncertainty_score":0.9999036,"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."}}