{"id":"W4223420317","doi":"10.1017/s0714980821000623","title":"Aligning Virtual Care in Canada with the Needs of Older Adults","year":2022,"lang":"en","type":"article","venue":"Canadian Journal on Aging / La Revue canadienne du vieillissement","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; Women's College Hospital; University of Toronto","funders":"","keywords":"Health care; Public health; Older people; Coronavirus disease 2019 (COVID-19); Virtual patient; MEDLINE","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":[0.003471915,0.0002200398,0.0003529649,0.0009389047,0.01014776,0.004534745,0.001406083,0.001340488,0.005723812],"category_scores_gemma":[0.01084351,0.0002249665,0.0005077748,0.00165338,0.00247645,0.001690267,0.004711819,0.001910067,0.0002739849],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07990535,"about_ca_system_score_gemma":0.2412519,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9866644,"about_ca_topic_score_gemma":0.9945651,"domain_scores_codex":[0.9963714,0.0007475329,0.0001367991,0.0002194909,0.0009753592,0.001549338],"domain_scores_gemma":[0.990132,0.0008502651,0.0005763071,0.0001600303,0.002836813,0.005444616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.000387759,0.00072566,0.2724062,0.002172628,0.0001657414,0.002000757,0.08135913,0.002131394,0.00219811,0.04803097,0.1593488,0.4290729],"study_design_scores_gemma":[0.0001578277,0.0004348541,0.5097883,0.003949084,0.0001526192,0.0007014878,0.1551458,0.003300787,0.0006571495,0.01222305,0.3131995,0.0002895745],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5867069,0.009214148,0.003780835,0.3154995,0.001139044,0.0006893878,0.00189047,0.0001831902,0.08089646],"genre_scores_gemma":[0.9625343,0.005694959,0.005440995,0.01919899,0.0001531861,0.0002100274,0.0003829425,0.00003700372,0.006347633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9200947,"threshold_uncertainty_score":0.5797566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006985509390538845,"score_gpt":0.2208638987008335,"score_spread":0.2138783893102947,"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."}}