{"id":"W4408712625","doi":"10.1038/s41597-025-04456-4","title":"Banana Leaves Imagery Dataset","year":2025,"lang":"en","type":"article","venue":"Scientific Data","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre; Styrelsen för Internationellt Utvecklingssamarbete","keywords":"Tanzania; Fusarium wilt; Agriculture; Data collection; Geography; Race (biology); Computer science; Remote sensing; Cartography; Horticulture; Biology; Botany; Environmental planning; Statistics; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003870219,0.001968469,0.0008469631,0.002664586,0.001085645,0.001102742,0.00197783,0.001505812,0.009874954],"category_scores_gemma":[0.0008985278,0.000416724,0.001086315,0.002440142,0.0004174339,0.0009591628,0.001138483,0.001387558,0.01302496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009361339,"about_ca_system_score_gemma":0.0007684789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02444164,"about_ca_topic_score_gemma":0.07230342,"domain_scores_codex":[0.9994247,0.00006481534,0.00004167552,0.0001979165,0.0001682164,0.0001026233],"domain_scores_gemma":[0.9996096,0.0000629344,0.00002994659,0.000104944,0.0001444715,0.00004812155],"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":[0.000840547,0.0008932583,0.007392332,0.002673208,0.0002524984,0.0007629546,0.0002314346,0.003186291,0.02242176,0.001113415,0.8795292,0.08070311],"study_design_scores_gemma":[0.000355456,0.0002807775,0.06016924,0.000510044,0.0001769754,0.002037997,0.001040596,0.02447135,0.01495224,0.001675751,0.894137,0.0001926426],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.04478434,0.003904992,0.00336584,0.0008130293,0.0005687113,0.0005705213,0.9197051,0.008750275,0.01753713],"genre_scores_gemma":[0.01466834,0.0003508092,0.005552535,0.0001739248,0.00003469632,0.0001785964,0.9766733,0.0001241824,0.002243721],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02444164,"threshold_uncertainty_score":0.04859871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04199163189997691,"score_gpt":0.266679057582406,"score_spread":0.2246874256824291,"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."}}