{"id":"W4409257003","doi":"10.1016/j.dib.2025.111549","title":"Irish potato imagery dataset for detection of early and late blight diseases","year":2025,"lang":"en","type":"article","venue":"Data in Brief","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Nelson Mandela African Institution of Science and Technology; International Development Research Centre; Styrelsen för Internationellt Utvecklingssamarbete","keywords":"Irish; Blight; Biology; Geography; Botany; Linguistics","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":[0.0000895021,0.00005906111,0.0001026409,0.00001052566,0.00005223885,0.00004124455,0.0002075152,0.00003448704,0.00001252906],"category_scores_gemma":[0.00007333714,0.00002192559,0.0000151769,0.0002097823,0.00003189786,0.000237847,0.0001619677,0.00003419503,0.000001519722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003713612,"about_ca_system_score_gemma":0.000003222282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006491526,"about_ca_topic_score_gemma":0.001023106,"domain_scores_codex":[0.9994869,0.00001792743,0.000123024,0.000218403,0.00005193381,0.0001018506],"domain_scores_gemma":[0.9996807,0.0001449038,0.0000352762,0.00009360488,0.00001865471,0.00002686629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001896534,0.0002145298,0.115691,0.00007370053,0.00003449056,0.00000597721,0.0000293989,4.701652e-7,0.4583297,0.00007509953,0.2916787,0.1336773],"study_design_scores_gemma":[0.0001219044,0.0000451487,0.7661203,0.00001926737,0.00001662908,4.994333e-7,0.00001760729,0.00002152259,0.003051027,0.0001574612,0.2303707,0.00005793829],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.975695,0.0003433549,0.00000882634,0.0006609194,0.00007018242,0.000157202,0.02301232,0.00001047548,0.00004172244],"genre_scores_gemma":[0.9821548,0.00005559485,0.00003734192,0.0002836256,0.00008369828,0.00001269556,0.01728652,3.091162e-7,0.0000854008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6504292,"threshold_uncertainty_score":0.09813289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02030264685273935,"score_gpt":0.254746889881958,"score_spread":0.2344442430292186,"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."}}