{"id":"W3126189439","doi":"10.1186/s40246-021-00310-x","title":"The Human Genome Organisation (HUGO) and the 2020 COVID-19 pandemic","year":2021,"lang":"en","type":"letter","venue":"Human Genomics","topic":"Biomedical Ethics and Regulation","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Dalhousie University","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Human genetics; Genomics; Genome; Human genome; Genomic medicine; Bioethics; Biology; Political science; Virology; Computational biology; Genetics; Medicine; Gene; Infectious disease (medical specialty)","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":[0.005119781,0.0006006397,0.0007212878,0.0005242979,0.006206222,0.006376591,0.001223051,0.0555735,0.0125254],"category_scores_gemma":[0.01762551,0.0004916966,0.0005870935,0.0005403105,0.003086829,0.002643161,0.00214305,0.02243081,0.01098636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005010558,"about_ca_system_score_gemma":0.01134862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0251733,"about_ca_topic_score_gemma":0.0362657,"domain_scores_codex":[0.9952046,0.001577191,0.0002319631,0.0003634437,0.001524024,0.001098824],"domain_scores_gemma":[0.9929884,0.003669125,0.0004008467,0.0001689144,0.0009558499,0.001816892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002690304,0.000009678991,0.0001639927,0.00002347151,0.000001834688,0.0003962409,0.0001381377,0.00002513397,0.00009503753,0.006324934,0.9892703,0.003524255],"study_design_scores_gemma":[0.00002757542,0.0000175258,0.0006402154,0.0002310187,0.000005142016,0.0002680478,0.000476054,0.000111129,0.0001097429,0.005610283,0.9924725,0.0000307031],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0005383009,0.003152353,0.00008990824,0.9390711,0.02129443,0.00002248416,0.0001429901,0.00003670342,0.03565181],"genre_scores_gemma":[0.005434537,0.001194507,0.0001941955,0.9264071,0.01030294,0.00005185582,0.0000617882,0.0000409016,0.05631214],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.0555735,"threshold_uncertainty_score":0.05005354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06127649106612694,"score_gpt":0.3159035065689949,"score_spread":0.2546270155028679,"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."}}