{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003812007,0.0005025695,0.0004733704,0.0005318839,0.006367965,0.003735516,0.001221774,0.001497789,0.004388166],"category_scores_gemma":[0.01007227,0.0003645339,0.0004601922,0.0004384914,0.004418433,0.002319226,0.005668075,0.001492575,0.0004056944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002860051,"about_ca_system_score_gemma":0.002820956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02321513,"about_ca_topic_score_gemma":0.03812641,"domain_scores_codex":[0.9954954,0.003044927,0.0001305285,0.0002275556,0.0004189489,0.0006826056],"domain_scores_gemma":[0.9951989,0.002264025,0.0005520504,0.00018927,0.0005285579,0.001267334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001579547,0.0001355757,0.01694228,0.0002386895,0.00001969829,0.002385925,0.9583749,0.0001524536,0.0006708938,0.0008701902,0.002274636,0.01777685],"study_design_scores_gemma":[0.0000121576,0.000294229,0.006438674,0.0001818581,0.00001877214,0.001229594,0.9788232,0.0002511742,0.0002756016,0.000151434,0.0122858,0.0000375979],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891033,0.0007785874,0.001462396,0.001269423,0.00007432298,0.00007216585,0.00005991426,0.00003859136,0.007141269],"genre_scores_gemma":[0.9978257,0.0002778049,0.0003683219,0.0002739508,0.000008940803,0.0000422116,0.0000223793,0.000009773241,0.001170863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02321513,"threshold_uncertainty_score":0.04616004,"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."}}