{"id":"W4408064846","doi":"10.53832/unlockingdata.1020","title":"Exploring the Foundational Learning Data and Knowledge Ecosystem in Sub-Saharan Africa: Guidance Notes","year":2025,"lang":"en","type":"report","venue":"","topic":"ICT in Developing Communities","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Ecosystem; Data science; Geography; Computer science; Ecology; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.003583634,0.0002901417,0.0003940825,0.0003938663,0.0004408951,0.0006281598,0.004349348,0.00009934565,0.000005945954],"category_scores_gemma":[0.001681489,0.0002278407,0.00003682047,0.0006804452,0.00006481097,0.0009956515,0.006874553,0.0008402762,0.00002918955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002984863,"about_ca_system_score_gemma":0.002097524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002655099,"about_ca_topic_score_gemma":0.001953864,"domain_scores_codex":[0.997503,0.0004333638,0.0005999902,0.000574365,0.0005534403,0.0003358784],"domain_scores_gemma":[0.9946293,0.00264181,0.0002163512,0.002090838,0.0003887991,0.00003288125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001463868,0.000216203,0.008252949,0.005465824,0.0005839464,0.0001020265,0.02350347,0.0006386151,0.0000314225,0.04660064,0.188946,0.7256442],"study_design_scores_gemma":[0.0001036912,0.00001100142,0.004727351,0.001873195,0.00001034389,0.00003867867,0.0001152052,0.02354481,0.00003109975,0.0003385535,0.9688552,0.0003508619],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.007793351,0.05998844,0.2724346,0.004725334,0.01517068,0.001739391,0.0001258408,0.001364634,0.6366578],"genre_scores_gemma":[0.7177228,0.1040597,0.08432549,0.0002431705,0.002604264,0.001408917,0.001414544,0.0002191517,0.08800194],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7799092,"threshold_uncertainty_score":0.9291076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3094697651731025,"score_gpt":0.3394229558472676,"score_spread":0.02995319067416513,"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."}}