{"id":"W4407230011","doi":"10.1177/20552076251319820","title":"Care partner experience with telepresence robots in long-term care during COVID-19 pandemic","year":2025,"lang":"en","type":"article","venue":"Digital Health","topic":"Social Robot Interaction and HRI","field":"Psychology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Vancouver Foundation","keywords":"Autonomy; Long-term care; Thematic analysis; Nursing; Visitor pattern; Health care; Government (linguistics); Pandemic; Psychology; Qualitative research; Medicine; Public relations; Coronavirus disease 2019 (COVID-19); Political science; Sociology; Disease; Computer science","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":[0.00003614485,0.0001478227,0.0002231454,0.0001388758,0.0001948136,0.00008152645,0.0001828109,0.0000850311,0.0001592488],"category_scores_gemma":[0.00005660695,0.0001369696,0.0000441832,0.0003438098,0.00009341564,0.0002253165,0.00005199651,0.0002453542,0.00006673006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006634867,"about_ca_system_score_gemma":0.0003860098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009628332,"about_ca_topic_score_gemma":0.00289703,"domain_scores_codex":[0.9986733,0.00006165641,0.0002726171,0.0004167358,0.0001464554,0.0004292992],"domain_scores_gemma":[0.9992384,0.0001014789,0.00008466405,0.0002927705,0.00005616272,0.0002265194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001763972,0.00005094217,0.9284054,0.000203257,0.000009034705,0.00005717926,0.05710313,0.00007195889,0.000002004661,0.0004701887,0.0002022704,0.0132482],"study_design_scores_gemma":[0.00106125,0.00009717371,0.9345452,0.0001758453,0.000001954162,0.00003048132,0.06183459,0.000001304171,0.00001175639,0.0000259859,0.002048785,0.0001657187],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9684794,0.001675125,0.0004540716,0.000548191,0.0005687632,0.0004542306,0.00003335873,0.0001535209,0.02763334],"genre_scores_gemma":[0.9952588,0.0000346306,0.000009290108,0.001738343,0.00005294781,0.0001196927,0.00005684844,0.00001428377,0.00271518],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02677939,"threshold_uncertainty_score":0.5585456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05554997583946808,"score_gpt":0.459017624408627,"score_spread":0.4034676485691589,"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."}}