{"id":"W3019586571","doi":"10.3390/ijerph17082906","title":"The Use of Digital Health in the Detection and Management of COVID-19","year":2020,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":174,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Memorial University of Newfoundland","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Triage; Outbreak; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Health care; Digital health; Infectious disease (medical specialty); Medical emergency; Computer science; Telemedicine; Business; Data science; Medicine; Internet privacy; Computer security; Environmental health; Disease; Virology; Pathology; Political science","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":[0.008488449,0.0005449509,0.0005315421,0.001519233,0.001809961,0.004820444,0.001991002,0.009467938,0.006365694],"category_scores_gemma":[0.05454242,0.0002486975,0.001175456,0.0009450845,0.005327493,0.006133263,0.002780133,0.01076652,0.001207953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003273088,"about_ca_system_score_gemma":0.00623252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008306904,"about_ca_topic_score_gemma":0.01497539,"domain_scores_codex":[0.9890962,0.00635599,0.0009932234,0.000703982,0.002358971,0.0004915674],"domain_scores_gemma":[0.9410077,0.04958307,0.001706544,0.0007059384,0.005893237,0.001103494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001160535,0.00004879987,0.001852739,0.005087501,0.00009187786,0.0009951618,0.005785073,0.0008236691,0.0005304246,0.2038359,0.5349365,0.2458963],"study_design_scores_gemma":[0.0000105301,0.00004366186,0.0006723283,0.006534256,0.00003299512,0.0004627401,0.00120347,0.0002668076,0.0003065567,0.01467986,0.9757496,0.00003727338],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.001133236,0.08210307,0.006135291,0.8385358,0.03612762,0.00007576174,0.0001846957,0.00007563583,0.03562877],"genre_scores_gemma":[0.05612307,0.2700163,0.009696538,0.5567577,0.08713379,0.0002077817,0.0002361356,0.0001037758,0.01972482],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009467938,"threshold_uncertainty_score":0.04489172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2068774349000299,"score_gpt":0.4450256862976553,"score_spread":0.2381482513976254,"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."}}