{"id":"W4302424785","doi":"10.1093/geront/gnac154","title":"Video Conferencing With Residents and Families for Care Planning During COVID-19: Experiences in Canadian Long-Term Care","year":2022,"lang":"en","type":"article","venue":"The Gerontologist","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of British Columbia; Registered Nurses' Association of Ontario; Western University","funders":"Healthcare Excellence Canada","keywords":"Coronavirus disease 2019 (COVID-19); Long-term care; Videoconferencing; Term (time); 2019-20 coronavirus outbreak; Nursing; Psychology; Medicine; Multimedia; Computer science; Virology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.007493621,0.0007984331,0.0006125313,0.001054555,0.02350264,0.003355869,0.003419722,0.001847208,0.006242773],"category_scores_gemma":[0.01814279,0.0005027552,0.0006068381,0.001299548,0.007170052,0.001787397,0.007276081,0.004182502,0.0004724334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03552783,"about_ca_system_score_gemma":0.04848267,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7116373,"about_ca_topic_score_gemma":0.9032936,"domain_scores_codex":[0.9906632,0.005501044,0.0001843238,0.0005000622,0.0009708836,0.002180521],"domain_scores_gemma":[0.9849713,0.004797362,0.000761829,0.0003315789,0.002045538,0.007092411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009563709,0.0002129395,0.004186156,0.0001913774,0.00001193911,0.001626073,0.9737562,0.00008656917,0.0004163929,0.0004936255,0.004546344,0.01437672],"study_design_scores_gemma":[0.00001356646,0.0001735322,0.007674471,0.0002583796,0.00001355697,0.0003478737,0.9599891,0.0001485356,0.0002257047,0.0001329383,0.03096616,0.00005628654],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9755511,0.001173086,0.001132156,0.005506719,0.0002425321,0.0003080213,0.0003072426,0.00007780292,0.01570137],"genre_scores_gemma":[0.9914411,0.0007507074,0.001538131,0.001153109,0.00005040403,0.0001780631,0.0001127297,0.00004365655,0.004732174],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2883627,"threshold_uncertainty_score":0.5801218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06838080755929134,"score_gpt":0.4004873026474114,"score_spread":0.3321064950881201,"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."}}