{"id":"W4406885187","doi":"10.53832/unlockingdata.1019","title":"Exploring the Foundational Learning Data and Knowledge Ecosystem in Sub-Saharan Africa: Malawi’s Situational Analysis","year":2025,"lang":"en","type":"report","venue":"","topic":"ICT in Developing Communities","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Situational ethics; Ecosystem; Situation analysis; Geography; Data science; Psychology; Computer science; Ecology; Biology; Social psychology","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":[0.003969093,0.0002917389,0.0005111411,0.00126866,0.0004923534,0.0006976178,0.003444317,0.0001073256,0.00002635606],"category_scores_gemma":[0.0006874753,0.00023687,0.00009026997,0.002176383,0.00005929723,0.001019422,0.005023419,0.0007654302,0.00002641747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000414419,"about_ca_system_score_gemma":0.002451504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002942722,"about_ca_topic_score_gemma":0.006214386,"domain_scores_codex":[0.9969808,0.0005242376,0.0006847508,0.0006417093,0.0008613807,0.0003071481],"domain_scores_gemma":[0.9954251,0.001912007,0.0002574683,0.001824999,0.0005396855,0.00004073227],"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":[0.00004251785,0.0007678794,0.0755142,0.004904829,0.01593914,0.0001796188,0.03736628,0.01832284,0.00002101463,0.166795,0.2541915,0.4259551],"study_design_scores_gemma":[0.0001720884,0.00001247052,0.05000352,0.0005542212,0.0002435679,0.00002923963,0.0002856794,0.2198867,0.000005636026,0.0005527213,0.7277089,0.0005451977],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01403052,0.01332675,0.476455,0.00371421,0.006037354,0.001311355,0.0002550955,0.0008280016,0.4840418],"genre_scores_gemma":[0.8573669,0.0263073,0.03450663,0.0001181741,0.001191752,0.0008151723,0.006567839,0.00009060614,0.07303562],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8433364,"threshold_uncertainty_score":0.9659278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2883867155349821,"score_gpt":0.338783717526051,"score_spread":0.05039700199106889,"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."}}