{"id":"W4383671656","doi":"10.1016/j.dib.2023.109387","title":"A labeled spectral dataset with cassava disease occurrences using virus titre determination protocol","year":2023,"lang":"en","type":"article","venue":"Data in Brief","topic":"Cassava research and cyanide","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre; Rockefeller Foundation","keywords":"Crop; Disease; Plant disease; Agriculture; Biology; Protocol (science); Horticulture; Remote sensing; Agronomy; Medicine; Biotechnology; Pathology; Geography; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001110782,0.001747749,0.001008503,0.002318549,0.001188677,0.001448325,0.001956983,0.002067773,0.004628235],"category_scores_gemma":[0.002607469,0.0003328666,0.0014229,0.002163846,0.0005526282,0.001130988,0.001526027,0.001446123,0.007367485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001343768,"about_ca_system_score_gemma":0.001527196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01686898,"about_ca_topic_score_gemma":0.03184601,"domain_scores_codex":[0.9983407,0.0001735277,0.0002179574,0.0007029038,0.0003785123,0.0001864641],"domain_scores_gemma":[0.9986175,0.0002235056,0.0001175205,0.0004829622,0.0004581156,0.0001004115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001544335,0.001363356,0.03460689,0.003172926,0.0004287963,0.001335652,0.0003953874,0.01232069,0.03348015,0.002978506,0.7760082,0.1323651],"study_design_scores_gemma":[0.0003907108,0.0005737647,0.09610142,0.0006810762,0.0002473872,0.002206456,0.00115979,0.05947271,0.02833936,0.00527791,0.8051865,0.0003630133],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.03778809,0.001391747,0.0102057,0.0006476507,0.0005509866,0.0007543536,0.9342191,0.008440625,0.00600168],"genre_scores_gemma":[0.01673368,0.0001889345,0.01270392,0.0001674421,0.00003880433,0.0004900428,0.9681689,0.000110326,0.001397947],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01686898,"threshold_uncertainty_score":0.03354156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1226267921689761,"score_gpt":0.3654063592645428,"score_spread":0.2427795670955667,"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."}}