{"id":"W4401649866","doi":"10.3389/frai.2024.1384709","title":"Deep learning models for the early detection of maize streak virus and maize lethal necrosis diseases in Tanzania","year":2024,"lang":"en","type":"article","venue":"Frontiers in Artificial Intelligence","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre; Styrelsen för Internationellt Utvecklingssamarbete","keywords":"Tanzania; Agriculture; Convolutional neural network; Food security; Deep learning; Biology; Artificial intelligence; Biotechnology; Geography; Computer science; Ecology","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":[0.0002016485,0.0001183858,0.0001664866,0.0000313238,0.0001175345,0.00010753,0.0001509252,0.00008371211,0.00001773978],"category_scores_gemma":[0.00007184712,0.00004546875,0.00007786496,0.0004762908,0.0001036503,0.000180068,0.0000379923,0.0001648742,0.000002488237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002319595,"about_ca_system_score_gemma":0.00000505368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001277899,"about_ca_topic_score_gemma":0.005093651,"domain_scores_codex":[0.999054,0.00005498591,0.0002745294,0.0002740251,0.0001215255,0.0002209254],"domain_scores_gemma":[0.9995067,0.0003413215,0.00004439197,0.0000358511,0.00003080142,0.000040946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001770908,0.00007584512,0.009373748,0.00002564918,0.00002137301,0.000006386364,0.001006165,0.004553989,0.06709566,0.001185004,0.0001137837,0.9163653],"study_design_scores_gemma":[0.00007841113,0.0007656693,0.1481029,0.000260842,0.0001013643,0.000006356436,0.01081445,0.6000019,0.09051345,0.1456419,0.00309205,0.0006206627],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9639742,0.004486995,0.03000315,0.0003861493,0.000644249,0.0003829832,0.00003243489,0.00003910212,0.00005071847],"genre_scores_gemma":[0.999097,0.0003502873,0.0002357415,0.00002022224,0.0001620956,0.00005428917,0.000006746409,0.000001572227,0.0000719998],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9157447,"threshold_uncertainty_score":0.2842377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02760171794676596,"score_gpt":0.2332259076284938,"score_spread":0.2056241896817278,"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."}}