{"id":"W7026543498","doi":"","title":"Advisory services to the African commission on Agricultural statistics : Mission report","year":2018,"lang":"en","type":"other","venue":"Economic Commission for Africa Knowledge Repository (Economic Commission for Africa)","topic":"Advanced Electron Microscopy Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Commission; Agriculture; Agricultural communication; Index (typography); Agricultural development; Session (web analytics); Sustainable development; European commission; Descriptive statistics","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":[0.0252443,0.0008930545,0.0007939303,0.007998751,0.002917811,0.006216209,0.001749129,0.003913524,0.1198925],"category_scores_gemma":[0.06033645,0.0006673246,0.0004766424,0.008222807,0.0008231943,0.004224657,0.003041267,0.004557946,0.05297653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004691808,"about_ca_system_score_gemma":0.03568684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03320562,"about_ca_topic_score_gemma":0.02460796,"domain_scores_codex":[0.9892898,0.002903783,0.001063782,0.0006865106,0.004811251,0.001244867],"domain_scores_gemma":[0.908059,0.01850023,0.004791804,0.003934572,0.05674785,0.00796663],"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":[0.00002734092,0.00001589944,0.0005225731,0.0000864695,0.000001402848,0.00003413999,0.0001174293,0.00003208499,0.0001044669,0.00105642,0.9821782,0.01582356],"study_design_scores_gemma":[0.000003814027,0.00000327485,0.0008447525,0.00007947723,0.000001185389,0.000012547,0.0001354594,0.00006599761,0.00008832804,0.0002322422,0.9985274,0.00000547773],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.006992905,0.005277983,0.009246105,0.4225178,0.04373013,0.006127626,0.09584184,0.003508572,0.406757],"genre_scores_gemma":[0.02650528,0.008552133,0.02340613,0.04177172,0.01526727,0.003923698,0.05777934,0.003532226,0.8192623],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1198925,"threshold_uncertainty_score":0.4010804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01269706410160743,"score_gpt":0.3102062650012689,"score_spread":0.2975092008996615,"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."}}