{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005336992,0.0005773049,0.001222083,0.001978501,0.000971384,0.003290433,0.001334332,0.002348872,0.003218225],"category_scores_gemma":[0.00982633,0.000256693,0.001200896,0.001552538,0.001634302,0.003803345,0.002081093,0.003364591,0.001046824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001562951,"about_ca_system_score_gemma":0.009066571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002987045,"about_ca_topic_score_gemma":0.005689836,"domain_scores_codex":[0.9968799,0.001243879,0.0005079252,0.0002816693,0.0008160264,0.0002705292],"domain_scores_gemma":[0.9926127,0.003816488,0.000831827,0.0001788726,0.00185018,0.0007098301],"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":[0.00009678165,0.0001182874,0.001571105,0.02806316,0.0002011772,0.000848204,0.001491162,0.0004706011,0.001467576,0.02107932,0.08268067,0.861912],"study_design_scores_gemma":[0.00002553887,0.0001499177,0.001877066,0.02007495,0.0002414408,0.001781514,0.001550832,0.0002123991,0.0005523912,0.01163015,0.9618557,0.00004818834],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006048323,0.9677605,0.001218083,0.02511648,0.001712477,0.00004093236,0.00005493965,0.00004067483,0.00345109],"genre_scores_gemma":[0.003850958,0.9873876,0.00212793,0.004535989,0.001220425,0.00004471247,0.00007471281,0.000007049063,0.0007505274],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005336992,"threshold_uncertainty_score":0.028225,"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."}}