{"id":"W4389160776","doi":"10.1016/j.jmir.2023.11.004","title":"Implementing digital devices to maintain family connections during the COVID-19 pandemic: Experience of a large academic urban hospital","year":2023,"lang":"en","type":"article","venue":"Journal of medical imaging and radiation sciences","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Health Sciences Centre; Sunnybrook Health Science Centre","funders":"Sunnybrook Foundation","keywords":"Enabling; Pandemic; Narrative; Process (computing); Isolation (microbiology); Health care; Nursing; Psychology; Telemedicine; Medical education; Coronavirus disease 2019 (COVID-19); Medicine; Computer science; Political science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.002981807,0.0004552844,0.0002894469,0.0004772129,0.0102129,0.004222926,0.001840345,0.001763173,0.007086155],"category_scores_gemma":[0.01052709,0.0004921503,0.000302905,0.000870219,0.004048208,0.002290089,0.006006809,0.003604785,0.0006641551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006178761,"about_ca_system_score_gemma":0.0155659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03188796,"about_ca_topic_score_gemma":0.1095557,"domain_scores_codex":[0.9958813,0.001796347,0.0001047727,0.0001895355,0.000361782,0.00166629],"domain_scores_gemma":[0.9846739,0.002658748,0.001447932,0.0003115205,0.00101278,0.009895232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0008506004,0.007876373,0.350717,0.0005200916,0.0001858108,0.01782689,0.4485243,0.00134929,0.002395725,0.005686963,0.04646052,0.1176065],"study_design_scores_gemma":[0.00007019483,0.001898743,0.05921144,0.0002540721,0.00003592286,0.002205658,0.9107308,0.0007366595,0.0004175685,0.0006765501,0.02369061,0.00007161754],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835657,0.0001849261,0.0003132243,0.0100192,0.00007511944,0.00008311112,0.00007693151,0.0000288044,0.005652841],"genre_scores_gemma":[0.9936363,0.000405955,0.0005579063,0.003007549,0.00005156406,0.00003838847,0.00005651544,0.0000273513,0.00221855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03188796,"threshold_uncertainty_score":0.06340468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04724285947100324,"score_gpt":0.4335702550346283,"score_spread":0.386327395563625,"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."}}