{"id":"W4282943127","doi":"10.1093/ageing/afac126.051","title":"1011 CONTINUUM OF GERIATRIC CARE FOR OLDER ADULTS WITH DUAL SENSORY LOSS DURING THE COVID-19 PANDEMIC IN CANADA: LESSONS LEARNED","year":2022,"lang":"en","type":"article","venue":"Age and Ageing","topic":"Healthcare Systems and Public Health","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre de réadaptation Lethbridge-Layton-Mackay; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; McGill University; Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean; Université de Montréal; Université Laval; Western University","funders":"","keywords":"Digital subscriber line; Health care; Thematic analysis; Medicine; Telemedicine; Telehealth; Pandemic; Qualitative research; Gerontology; Population; Geriatrics; Nursing; Coronavirus disease 2019 (COVID-19); Psychiatry; Disease; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.006095236,0.0005101643,0.0005548061,0.001694003,0.01333177,0.005200608,0.003022255,0.00176213,0.002846643],"category_scores_gemma":[0.009805196,0.0003432871,0.0008422542,0.002645869,0.003728595,0.00267807,0.005585301,0.003701858,0.0002636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07782866,"about_ca_system_score_gemma":0.3398793,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9713123,"about_ca_topic_score_gemma":0.9898883,"domain_scores_codex":[0.9963036,0.0008188763,0.0001463141,0.0001887708,0.0008586563,0.001683821],"domain_scores_gemma":[0.9895941,0.001224184,0.0003808752,0.0001339646,0.004067367,0.004599483],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00009414427,0.0004778055,0.09261589,0.006266294,0.00009435964,0.004748625,0.4448453,0.0005768611,0.00105771,0.006147314,0.1208846,0.3221911],"study_design_scores_gemma":[0.0000268941,0.0001121111,0.06650076,0.01008889,0.00006450464,0.000529294,0.819469,0.0003410327,0.0002236193,0.001644243,0.1009113,0.00008837262],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.4191992,0.06405646,0.00283447,0.4500626,0.004420882,0.001612721,0.002090389,0.0001986769,0.0555246],"genre_scores_gemma":[0.889145,0.06088645,0.01099289,0.0294167,0.0004369032,0.0007417622,0.0008346046,0.00005897606,0.007486829],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07782866,"threshold_uncertainty_score":0.5646891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03982640200780927,"score_gpt":0.3148458638424679,"score_spread":0.2750194618346586,"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."}}