{"id":"W2590070202","doi":"10.1089/tmj.2016.0243","title":"Bedside Critical Care Staff Use of Intensive Care Unit Telemedicine: Comparisons by Intensive Care Unit Complexity","year":2017,"lang":"en","type":"article","venue":"Telemedicine Journal and e-Health","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Mount Sinai Hospital; University of Toronto","funders":"","keywords":"Telemedicine; Medicine; Intensive care unit; Medical emergency; Thematic analysis; Intensive care; Health care; Emergency medicine; Nursing; Qualitative research; Intensive care medicine","routes":{"ca_aff":true,"ca_fund":false,"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":[0.003241488,0.0001836408,0.0002620806,0.001856715,0.0004715448,0.0008408906,0.0005071986,0.0004111986,0.002574909],"category_scores_gemma":[0.02270673,0.0002223419,0.0005666008,0.001008169,0.0004953968,0.001442918,0.001813924,0.0004381406,0.0001611341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001075293,"about_ca_system_score_gemma":0.0007643878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002008192,"about_ca_topic_score_gemma":0.003172718,"domain_scores_codex":[0.9964452,0.001349906,0.0005706487,0.0003043825,0.0008880422,0.0004417801],"domain_scores_gemma":[0.9805623,0.008739205,0.006800951,0.0004910361,0.001879095,0.001527487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005088463,0.0001547921,0.9802619,0.0001265101,0.00009338374,0.00007042866,0.007100821,0.0001329506,0.000626275,0.00004355755,0.0001642008,0.0107164],"study_design_scores_gemma":[0.00001649171,0.0004415742,0.9935706,0.00004351546,0.00001788008,0.00008146646,0.005188529,0.000287931,0.0001835828,0.00003484678,0.0001264782,0.00000721297],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999481,0.00006912513,0.00008126729,0.00003782814,0.000001651417,0.00002220079,0.00006397726,0.000002415368,0.0002405116],"genre_scores_gemma":[0.9995797,0.00004732616,0.0001617332,0.00002062484,0.000005737653,0.00004311871,0.00009360049,0.00000160333,0.00004647528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003241488,"threshold_uncertainty_score":0.01714289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2194120970320371,"score_gpt":0.4571504883311281,"score_spread":0.237738391299091,"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."}}