{"id":"W4293244281","doi":"10.1164/ajrccm-conference.2022.205.1_meetingabstracts.a5546","title":"The Johns Hopkins COVID-19 Remote Patient Monitoring Program Clinical Experience","year":2022,"lang":"en","type":"article","venue":"","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Computer science; Medicine; Internal medicine; Disease","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":[0.001392401,0.0003054873,0.000165068,0.0003892195,0.002258901,0.001789029,0.0006064042,0.0005803403,0.01198505],"category_scores_gemma":[0.003718144,0.0002005394,0.0001646432,0.0004363417,0.0005981575,0.001295379,0.002223648,0.00215435,0.001459628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001843264,"about_ca_system_score_gemma":0.003726941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006506744,"about_ca_topic_score_gemma":0.02706587,"domain_scores_codex":[0.998849,0.0004008237,0.00005792482,0.0001537387,0.0002419363,0.0002965987],"domain_scores_gemma":[0.9955779,0.0004903023,0.00025215,0.0001252307,0.000374344,0.003180095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000662719,0.00471178,0.3979216,0.0002106371,0.00006863858,0.01391858,0.00920734,0.0009882891,0.003112727,0.003777771,0.2124499,0.35297],"study_design_scores_gemma":[0.0003121146,0.005185368,0.5836998,0.001154716,0.00009315404,0.03517038,0.03534871,0.00364099,0.002508269,0.003811135,0.328889,0.0001863851],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7555469,0.003813342,0.003091746,0.04629992,0.001697966,0.0004125613,0.001013729,0.0004036785,0.1877201],"genre_scores_gemma":[0.9538229,0.003496271,0.004086144,0.01183394,0.001373058,0.0001709731,0.001054263,0.000133928,0.02402863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01198505,"threshold_uncertainty_score":0.04009402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1035361099364347,"score_gpt":0.4467591407708224,"score_spread":0.3432230308343877,"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."}}