{"id":"W2911514032","doi":"10.1183/23120541.00150-2018","title":"ASAP-GxNet project in Burkina Faso: fulfil country capacity gaps to ensure efficient utilisation of GeneXpert instruments in tuberculosis care and cascade","year":2019,"lang":"en","type":"article","venue":"ERJ Open Research","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"GeneXpert MTB/RIF; Medicine; General partnership; Tuberculosis; Government (linguistics); Capacity building; Economic growth; Mycobacterium tuberculosis; Finance; Business","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01516589,0.0008060916,0.0003938854,0.001230843,0.002245236,0.003751906,0.001685538,0.002811868,0.01169204],"category_scores_gemma":[0.0186535,0.0002723929,0.0003179298,0.0008006014,0.001429428,0.003437769,0.008630541,0.002920906,0.002118008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006239349,"about_ca_system_score_gemma":0.04225314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0358319,"about_ca_topic_score_gemma":0.03116531,"domain_scores_codex":[0.994692,0.003238748,0.0001836872,0.0002589169,0.0005443456,0.001082271],"domain_scores_gemma":[0.984898,0.004001373,0.001139199,0.0007074843,0.002866163,0.006387655],"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":[0.0009731143,0.0008146566,0.04334778,0.003943878,0.0001572954,0.00232969,0.007992877,0.003050526,0.003788429,0.05599836,0.2613734,0.61623],"study_design_scores_gemma":[0.0003009528,0.001070373,0.0356163,0.006760201,0.0001153882,0.001262634,0.007290688,0.002126372,0.003088226,0.01584873,0.9264365,0.00008357133],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.08491267,0.05823093,0.0280118,0.722573,0.008250358,0.002251572,0.009441237,0.001700553,0.08462776],"genre_scores_gemma":[0.7721366,0.02508834,0.08321912,0.06781333,0.002393334,0.003028925,0.006993523,0.0004729913,0.0388538],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0358319,"threshold_uncertainty_score":0.0802058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09116696296059228,"score_gpt":0.4193867660881433,"score_spread":0.3282198031275511,"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."}}