{"id":"W3153754887","doi":"10.3389/fpubh.2021.640282","title":"Research and Management of Rare Diseases in the COVID-19 Pandemic Era: Challenges and Countermeasures","year":2021,"lang":"en","type":"review","venue":"Frontiers in Public Health","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Alberta Innovates","keywords":"Pandemic; Disease; Telehealth; Medicine; Population; Odds; Coronavirus disease 2019 (COVID-19); Disease management; Health care; Family medicine; Intensive care medicine; Telemedicine; Political science; Infectious disease (medical specialty); Pathology; Environmental health","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.001995507,0.0002005932,0.0007158059,0.0002670315,0.00008917538,0.00004858013,0.0003411992,0.00017836,0.000001774635],"category_scores_gemma":[0.0001356982,0.0001475869,0.00008128719,0.0002145706,0.0002354771,0.000004100983,0.0002618635,0.0002574457,1.170699e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001249899,"about_ca_system_score_gemma":0.001460287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004585733,"about_ca_topic_score_gemma":0.0001255375,"domain_scores_codex":[0.9973715,0.001018423,0.0004152741,0.0005374208,0.0002456025,0.0004118099],"domain_scores_gemma":[0.9990567,0.00006264931,0.0001375998,0.0004323895,0.00005514498,0.0002555342],"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":[0.00001315947,0.0001963388,0.002705833,0.03182882,0.0001665078,0.00006569368,0.0003237935,3.333988e-7,4.959105e-8,0.0006582202,0.01434085,0.9497004],"study_design_scores_gemma":[0.000279581,0.00009820981,0.001952062,0.001238195,0.0000240584,0.00003996584,0.002747371,7.878363e-7,1.07888e-8,0.0001638356,0.9933268,0.0001291402],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004000213,0.997168,0.00002647707,0.001192117,0.0001161363,0.0007661735,0.0001971551,0.000002972564,0.0001309403],"genre_scores_gemma":[0.002937424,0.9959336,0.0001027441,0.000318729,0.00005822592,0.0001842002,0.0004063827,0.0000202049,0.00003849791],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9789859,"threshold_uncertainty_score":0.6018419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1948836388607113,"score_gpt":0.4173180712956622,"score_spread":0.2224344324349509,"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."}}