{"id":"W4309192124","doi":"10.2196/40655","title":"Recommendations for Successful Implementation of the Use of Vocal Biomarkers for Remote Monitoring of COVID-19 and Long COVID in Clinical Practice and Research","year":2022,"lang":"en","type":"article","venue":"Interactive Journal of Medical Research","topic":"Voice and Speech Disorders","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fonds National de la Recherche Luxembourg","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Clinical Practice; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Health care; Telemedicine; Computer science; Medicine; Pathology; Nursing; Disease","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.07614906,0.001671551,0.001930286,0.003548507,0.002026292,0.00737106,0.004884379,0.01552084,0.03203823],"category_scores_gemma":[0.1954999,0.0009094094,0.004126341,0.00189824,0.003252974,0.00996054,0.005522297,0.01070793,0.0203665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003520956,"about_ca_system_score_gemma":0.04180718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009423818,"about_ca_topic_score_gemma":0.01524236,"domain_scores_codex":[0.9532353,0.02683597,0.006565512,0.002656459,0.008473762,0.00223302],"domain_scores_gemma":[0.7778787,0.11026,0.01070836,0.01017346,0.07414147,0.01683809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003926814,0.0006192185,0.003804048,0.00891448,0.0001588931,0.0007791793,0.001209966,0.0008359191,0.001772093,0.01142188,0.3123783,0.6577134],"study_design_scores_gemma":[0.0006358062,0.0008527441,0.007841229,0.05247966,0.0006672107,0.001076653,0.00478352,0.001370648,0.002983002,0.03441544,0.8925164,0.0003777627],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.00350091,0.1091731,0.06975135,0.7420667,0.01544246,0.006607363,0.002508784,0.002807759,0.04814148],"genre_scores_gemma":[0.04103435,0.1696914,0.4911841,0.2223427,0.01112403,0.02283931,0.003484256,0.0009535087,0.03734637],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.07614906,"threshold_uncertainty_score":0.4027196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3864932474716407,"score_gpt":0.6366550931521691,"score_spread":0.2501618456805283,"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."}}