{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004946613,0.00009792422,0.0003145268,0.0000776498,0.0003162232,0.0000070933,0.00004830431,0.00003560788,0.00002177513],"category_scores_gemma":[0.0001148267,0.00006834983,0.00002828699,0.0002015589,0.00002506618,0.00002648447,0.00004144747,0.0002841289,7.688938e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004924468,"about_ca_system_score_gemma":0.003174611,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8575549,"about_ca_topic_score_gemma":0.9115567,"domain_scores_codex":[0.9987696,0.0001751395,0.0002986872,0.0002242352,0.0002118525,0.0003205321],"domain_scores_gemma":[0.9992471,0.0002231647,0.0001222259,0.0001615353,0.00005312953,0.0001928245],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001679825,0.00009087496,0.7665466,0.01807103,0.0001300218,0.02363383,0.1143702,0.0001737115,0.0007136446,0.0002167716,0.001407112,0.07296634],"study_design_scores_gemma":[0.007352907,0.0003016623,0.8507667,0.0003400085,0.0000376216,0.0006889602,0.09175991,0.00006874838,0.00002263109,0.0000118777,0.04843041,0.0002186151],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921688,0.00127785,0.0000181172,0.005351433,0.00008303839,0.000901468,0.00009081871,0.00001498811,0.00009346751],"genre_scores_gemma":[0.9980287,0.00008688644,0.00001575788,0.001253067,0.0001148565,0.00009685747,0.00002609149,0.00001621247,0.0003615762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08422004,"threshold_uncertainty_score":0.5631623,"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."}}