{"id":"W3159685312","doi":"10.1186/s13023-021-01834-0","title":"ATTR amyloidosis during the COVID-19 pandemic: insights from a global medical roundtable","year":2021,"lang":"en","type":"article","venue":"Orphanet Journal of Rare Diseases","topic":"Amyloidosis: Diagnosis, Treatment, Outcomes","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University Health Network","funders":"National Cancer Institute; Pharmacyclics; Grifols; National Institutes of Health; Argenx; Alexion Pharmaceuticals; Prothena; CSL Behring; Biogen; Celgene; Alnylam Pharmaceuticals; Pfizer; Amyloidosis Foundation; Teva Pharmaceutical Industries; Sanofi; Amgen","keywords":"Medicine; Amyloidosis; Organ dysfunction; Intensive care medicine; Disease; Pandemic; Cardiomyopathy; Transthyretin; Coronavirus disease 2019 (COVID-19); Internal medicine; Heart failure; Infectious disease (medical specialty); Sepsis","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":[0.001817686,0.0004131686,0.0004263333,0.0009713544,0.00107838,0.002511068,0.0004751751,0.002062358,0.005564109],"category_scores_gemma":[0.004213935,0.0001843901,0.0006235523,0.0008566632,0.0009039862,0.003454357,0.00209818,0.003701751,0.0009089403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001366543,"about_ca_system_score_gemma":0.002921076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003700475,"about_ca_topic_score_gemma":0.008638581,"domain_scores_codex":[0.9991391,0.0003103566,0.00007021338,0.0001180849,0.0001664499,0.0001958931],"domain_scores_gemma":[0.996779,0.0008832862,0.0005336173,0.00009269352,0.0007732904,0.000938066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004486227,0.0002277276,0.1008137,0.003876641,0.000370899,0.005843093,0.00820489,0.0005643288,0.001445868,0.01893445,0.3941577,0.4651121],"study_design_scores_gemma":[0.00007315021,0.0003660105,0.1468614,0.01174553,0.0004462568,0.008967096,0.02327209,0.0009594822,0.0004867553,0.02503256,0.7816033,0.0001864686],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.06415813,0.4172463,0.00201683,0.4747413,0.01001407,0.00008486785,0.001969735,0.0001510056,0.02961782],"genre_scores_gemma":[0.4370522,0.4219043,0.002941607,0.1138122,0.01737916,0.000116566,0.001628037,0.0001020709,0.00506381],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005564109,"threshold_uncertainty_score":0.01861387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02084933120584528,"score_gpt":0.2990807298081929,"score_spread":0.2782313986023476,"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."}}