{"id":"W6967660430","doi":"10.5061/dryad.vq83bk42w","title":"HarvestStat Africa - Harmonized Subnational Crop Statistics for Sub-Saharan Africa","year":2024,"lang":"en","type":"dataset","venue":"DRYAD","topic":"","field":"","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"U.S. Geological Survey; Bundesministerium für Bildung und Forschung; National Aeronautics and Space Administration; Canada Research Chairs; Volkswagen Foundation; Deutsche Forschungsgemeinschaft","keywords":"Agriculture; Crop; Yield (engineering); Scarcity; Agricultural productivity; Crop yield; Official statistics; Food security","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009197525,0.001106662,0.001104719,0.001005721,0.0003410193,0.0009090993,0.001268118,0.0006671076,0.001816967],"category_scores_gemma":[0.00146385,0.001130532,0.0004147857,0.0009479059,0.0003503733,0.0002824795,0.0003466664,0.001109166,0.0961948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007832029,"about_ca_system_score_gemma":0.001108753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007094853,"about_ca_topic_score_gemma":0.0002995938,"domain_scores_codex":[0.9942575,0.0002239586,0.001127037,0.001486119,0.001595293,0.001310058],"domain_scores_gemma":[0.9957004,0.001219161,0.0005750642,0.001294056,0.0007722102,0.0004391675],"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":[0.0003503137,0.0003020981,4.883848e-7,0.0009584882,0.0005194749,0.0002507034,0.0000862187,0.00001188068,0.0003679947,0.0005994691,0.9962912,0.0002616722],"study_design_scores_gemma":[0.001569741,0.0001576509,0.00002671444,0.0002019774,0.001052089,0.0000180732,0.00001019634,0.0004031696,0.0001135994,0.005139136,0.9900774,0.001230257],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000004099605,0.003949369,0.001141172,0.0002011054,0.002232541,0.001818369,0.9898291,0.0004196769,0.0004045948],"genre_scores_gemma":[0.00001278104,0.0005083524,0.00625216,0.00008273972,0.0009661913,0.001113716,0.9855524,0.0005010884,0.005010616],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09437784,"threshold_uncertainty_score":0.9991145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04417745140191242,"score_gpt":0.2994805651166951,"score_spread":0.2553031137147826,"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."}}