{"id":"W3033659318","doi":"10.11604/pamj.2020.35.2.22693","title":"Leveraging polymerase chain reaction technique (GeneXpert) to upscaling testing capacity for SARS-CoV-2 (COVID-19) in Nigeria: a game changer","year":2020,"lang":"en","type":"article","venue":"Pan African Medical Journal","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"GeneXpert MTB/RIF; Medicine; Tuberculosis; Coronavirus disease 2019 (COVID-19); Virology; Transmission (telecommunications); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Government (linguistics); Environmental health; Mycobacterium tuberculosis; Computer science; Disease; Internal medicine; Telecommunications; Pathology; 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":[0.006271382,0.0008440362,0.0005722667,0.002434287,0.0004360313,0.002223938,0.001369639,0.001348654,0.00188237],"category_scores_gemma":[0.008767813,0.0004667702,0.0007127119,0.001154955,0.0009553637,0.002008609,0.001043598,0.002161537,0.0009848061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001001263,"about_ca_system_score_gemma":0.001508676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004349046,"about_ca_topic_score_gemma":0.00568749,"domain_scores_codex":[0.996407,0.001140924,0.0002938394,0.0006191201,0.001308676,0.0002303378],"domain_scores_gemma":[0.9946396,0.001931475,0.0006906635,0.0003780282,0.002026944,0.0003332764],"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":[0.0004673566,0.0005698962,0.07189569,0.001264444,0.0001347087,0.001119448,0.001272113,0.00447644,0.1010248,0.006908851,0.01928279,0.7915835],"study_design_scores_gemma":[0.0002430041,0.004865436,0.09886137,0.003519566,0.0007665322,0.009636959,0.005996154,0.07188939,0.2690596,0.02211368,0.5124474,0.0006009851],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3033572,0.1124286,0.4503065,0.07795143,0.01061169,0.00214321,0.001542737,0.006552855,0.03510578],"genre_scores_gemma":[0.4894755,0.03864586,0.453591,0.006700523,0.001138173,0.0006408053,0.0008635017,0.0003507395,0.008593847],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006271382,"threshold_uncertainty_score":0.03316659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1633494974557335,"score_gpt":0.3764373159314403,"score_spread":0.2130878184757068,"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."}}