{"id":"W7010348358","doi":"","title":"ILRI Capacity Development Newsletter, Issue 4, July 2023","year":2020,"lang":"en","type":"other","venue":"CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research)","topic":"Libraries and Information Services","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Wageningen University and Research; Lunds Universitet; Technische Universiteit Delft; Universitetet i Oslo; Harvard University; Deutscher Akademischer Austauschdienst; Griffith University; Sveriges Lantbruksuniversitet; Technische Universität Dresden; University of Leeds; Universität Hohenheim; Kungliga Tekniska Högskolan; UNICEF; University of Pennsylvania; University of Alberta; Massachusetts Institute of Technology; University of Leicester","keywords":"Capacity development; Work (physics); Government (linguistics); Investment (military)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001258192,0.0007319398,0.0008751934,0.0007694088,0.001476791,0.001522151,0.002137229,0.0004047336,0.002198068],"category_scores_gemma":[0.00156273,0.0004349209,0.0004314688,0.0006336225,0.001774364,0.001465193,0.000916025,0.001687896,0.001669611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005524046,"about_ca_system_score_gemma":0.0002579038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002483303,"about_ca_topic_score_gemma":0.002449159,"domain_scores_codex":[0.9920371,0.0006861083,0.001217237,0.001030991,0.003782587,0.001245983],"domain_scores_gemma":[0.9899363,0.001432997,0.0008671203,0.0003470053,0.006856102,0.0005604973],"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":[0.0001686213,0.0001787446,0.000008961325,0.0006271832,0.0008143111,0.000008478272,0.02507441,0.000002171678,0.003163878,0.02659547,0.942589,0.000768705],"study_design_scores_gemma":[0.0008994147,0.0004485552,0.001957575,0.0007731959,0.00002691592,0.00001009988,0.02244898,0.000006200439,0.003531438,0.0001433802,0.969121,0.0006331953],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0063602,0.001248507,0.0000208268,0.01580296,0.003471891,0.004178062,0.002193488,0.0003624061,0.9663616],"genre_scores_gemma":[0.007757979,0.0002158297,0.00139689,0.0002525107,0.007248959,0.0007226669,0.002647615,0.0001830437,0.9795745],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02653198,"threshold_uncertainty_score":0.9998232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09228190224745962,"score_gpt":0.3152779167348018,"score_spread":0.2229960144873421,"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."}}