{"id":"W4362571131","doi":"10.1177/23337214231166208","title":"Telepresence Robots in Long-Term Care Settings in British Columbia During the COVID-19 Pandemic: Analyzing the Experiences of Residents and Family Members","year":2023,"lang":"en","type":"article","venue":"Gerontology and Geriatric Medicine","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alzheimer Society of Canada; University of British Columbia","funders":"Vancouver Foundation","keywords":"Long-term care; Autonomy; Thematic analysis; Pandemic; Coronavirus disease 2019 (COVID-19); Psychology; Nursing; Gerontology; Social distance; Nonprobability sampling; Panorama; Focus group; Medicine; Sociology; Qualitative research; Computer science; Political science; Disease; Environmental health; Infectious disease (medical specialty)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001476883,0.0001169325,0.0004719659,0.0001773583,0.000679819,0.00001546072,0.0002303393,0.0002056967,0.0001207165],"category_scores_gemma":[0.0009512967,0.00009712643,0.00002632345,0.0008748212,0.0005320549,0.00007417126,0.0001640234,0.0004491084,0.000001197538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009662387,"about_ca_system_score_gemma":0.0001573191,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1104186,"about_ca_topic_score_gemma":0.2906703,"domain_scores_codex":[0.997626,0.0006730547,0.0006303689,0.0003794629,0.0001972102,0.0004939255],"domain_scores_gemma":[0.9977567,0.001581083,0.0002509028,0.0002399121,0.00005554357,0.0001158144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004418241,0.000004539136,0.8412006,0.0003816303,0.000009261502,0.0000725318,0.1526069,0.000006484233,0.0000474679,0.000001068717,0.003096325,0.002528975],"study_design_scores_gemma":[0.001244089,0.00004474842,0.7824616,0.0001952257,0.00002466813,0.00004477104,0.2157842,0.000008066812,4.502855e-7,0.0000593876,0.00006005629,0.00007277297],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9770525,0.01949868,0.000008012388,0.002032618,0.0006591603,0.0006014711,0.000003855887,0.00003865259,0.0001050987],"genre_scores_gemma":[0.9933833,0.005476727,0.000009068642,0.0003125319,0.0001621226,0.0001326173,0.0000118089,0.000009205973,0.0005025709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1802517,"threshold_uncertainty_score":0.8955052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04765508087690728,"score_gpt":0.3886386531944739,"score_spread":0.3409835723175667,"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."}}