{"id":"W6920546527","doi":"10.60692/djnh6-r6a21","title":"Research and Management of Rare Diseases in the COVID-19 Pandemic Era: Challenges and Countermeasures","year":2021,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Pandemic; Telehealth; Disease; Population; Coronavirus disease 2019 (COVID-19); Rare disease; Transmission (telecommunications); Disease management","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003319828,0.0000644094,0.00008331842,0.00005717457,0.00006610437,0.00004549757,0.00008039275,0.0000442032,0.000001193459],"category_scores_gemma":[0.00001636293,0.00004530173,0.00001892333,0.00005055068,0.00005742547,0.000008413223,0.00009695767,0.00003436728,0.000001726706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001365187,"about_ca_system_score_gemma":0.00004205383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003367026,"about_ca_topic_score_gemma":0.000002962568,"domain_scores_codex":[0.9993597,0.00009897039,0.0001759077,0.0001130981,0.000147792,0.0001044804],"domain_scores_gemma":[0.9995939,0.000006816705,0.00004967593,0.0001983966,0.00009527193,0.00005593019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004873286,0.00003669713,0.9121763,0.01068429,0.0002833639,0.0001261657,0.0676835,0.0000992042,0.0001347705,0.003208608,0.0006468862,0.004432953],"study_design_scores_gemma":[0.001596835,0.000112997,0.8305031,0.0001906229,0.00003491537,0.0002569153,0.1610236,0.0000463245,0.0002223085,0.00002794134,0.005809333,0.0001750628],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962305,0.002555193,0.00006453896,0.0001285193,0.00002656849,0.0001923064,0.0001157142,0.000004889309,0.0006817403],"genre_scores_gemma":[0.9992632,0.0004676713,0.00001205162,0.0001268807,0.00001830505,0.00004107148,0.00004532999,0.000002905353,0.00002261394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09334015,"threshold_uncertainty_score":0.1847351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0891616891572533,"score_gpt":0.2920151102159357,"score_spread":0.2028534210586824,"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."}}