{"id":"W3184628738","doi":"10.29390/cjrt-2021-023","title":"Virtual mask fitting in pediatric patients during COVID-19: A case series","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Respiratory Therapy","topic":"Infection Control and Ventilation","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University; Institute for Clinical Evaluative Sciences; University of Toronto; SickKids Foundation; Toronto Rehabilitation Institute; Hospital for Sick Children","funders":"","keywords":"Telemedicine; Context (archaeology); Coronavirus disease 2019 (COVID-19); Medicine; Workflow; Videoconferencing; Virtual patient; Phone; Medical emergency; Health care; Computer science; Nursing; Multimedia","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003311814,0.00008902261,0.000195084,0.0004725644,0.0001715697,0.00003248146,0.00003456102,0.00007184177,0.0003447812],"category_scores_gemma":[0.000485995,0.00008429486,0.00009787115,0.000315528,0.00002349519,0.0001839238,0.000003211175,0.0002409628,0.000003640358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003319723,"about_ca_system_score_gemma":0.002978387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002680765,"about_ca_topic_score_gemma":0.009621806,"domain_scores_codex":[0.9990688,0.0001180043,0.000382513,0.0001014031,0.000132148,0.0001971381],"domain_scores_gemma":[0.9987605,0.00003700747,0.0001829942,0.00009720866,0.0002743186,0.0006480045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002126091,0.0000352462,0.9786474,0.00002746368,0.00002640213,0.01583568,0.0008912819,0.0001757903,0.0002742973,0.00002447623,0.0001999378,0.003649378],"study_design_scores_gemma":[0.01551413,0.001431461,0.8921674,0.00009472347,0.00006352986,0.010639,0.001237752,0.0000330959,0.001246226,0.000058579,0.07722874,0.0002853035],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997549,0.001349522,0.00008632236,0.0003935736,0.0003936554,0.00009481125,0.000005898364,0.000005310634,0.0001218813],"genre_scores_gemma":[0.9970062,0.00005473977,0.0000251308,0.002244601,0.000517963,0.000002116008,0.000001799774,0.00001338889,0.0001340234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08647998,"threshold_uncertainty_score":0.5369194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02255776816060013,"score_gpt":0.2714112549152669,"score_spread":0.2488534867546668,"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."}}