{"id":"W3119532583","doi":"10.1139/gen-2020-0013","title":"Genomics and bioinformatics capacity in Africa: no continent is left behind","year":2021,"lang":"en","type":"article","venue":"Genome","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Alliance for Accelerating Excellence in Science in Africa; National Institute of Allergy and Infectious Diseases; African Academy of Sciences; New Partnership for Africa's Development; Government of the United Kingdom; Wellcome Trust","keywords":"Genomics; Heredity; Biology; Bioinformatics; Genome; Genetics; Gene","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02275964,0.0007444747,0.001111599,0.003330573,0.007189989,0.01415702,0.002868959,0.00377075,0.02418248],"category_scores_gemma":[0.04487609,0.0006588076,0.0007197768,0.005631309,0.007782454,0.01997626,0.0127325,0.005788542,0.007215289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003851273,"about_ca_system_score_gemma":0.03015795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008513436,"about_ca_topic_score_gemma":0.004511953,"domain_scores_codex":[0.991203,0.004234798,0.0005105066,0.0008750416,0.001094774,0.002081978],"domain_scores_gemma":[0.9236745,0.03809892,0.00401596,0.005032785,0.007882168,0.02129565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004298605,0.0002755492,0.01940439,0.003034128,0.0001237649,0.001691976,0.01112028,0.001500688,0.003588234,0.2046459,0.2585027,0.4956825],"study_design_scores_gemma":[0.00008628412,0.0001425797,0.008855123,0.003227965,0.00005212526,0.0010989,0.01243433,0.001281685,0.001085824,0.1475255,0.8240894,0.0001203639],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.02264799,0.0377501,0.01344399,0.8878626,0.003644315,0.0001070129,0.001188998,0.0008286311,0.03252636],"genre_scores_gemma":[0.6223367,0.1099354,0.07288444,0.1563052,0.01077015,0.0004960768,0.003824969,0.001152106,0.02229491],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.02418248,"threshold_uncertainty_score":0.120366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02571384000827581,"score_gpt":0.2405714838618129,"score_spread":0.2148576438535371,"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."}}