{"id":"W4321248228","doi":"10.3390/f14020415","title":"YOLO-Tea: A Tea Disease Detection Model Improved by YOLOv5","year":2023,"lang":"en","type":"article","venue":"Forests","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":164,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Context (archaeology); Computer science; Tree (set theory); Convolutional neural network; Block (permutation group theory); Artificial intelligence; Pattern recognition (psychology); Mathematics; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001618546,0.0007300259,0.0005988522,0.0003334882,0.0001834759,0.0004478163,0.001371506,0.0005423005,0.001902386],"category_scores_gemma":[0.0003255951,0.0002598163,0.0008675717,0.000188461,0.0001180925,0.0007151268,0.0005074658,0.0006303681,0.0006325651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006528629,"about_ca_system_score_gemma":0.0007315233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01943172,"about_ca_topic_score_gemma":0.02599468,"domain_scores_codex":[0.9999274,0.000004506687,0.000003810032,0.00003363289,0.00001269204,0.00001805782],"domain_scores_gemma":[0.9999349,0.00001323675,0.000007638416,0.00000838268,0.00002584861,0.000009949574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009555832,0.000440313,0.008413204,0.000343335,0.0003650892,0.000367538,0.00007690551,0.4840316,0.0745538,0.002079263,0.01458411,0.4137893],"study_design_scores_gemma":[0.00001818409,0.00008946732,0.0008125749,0.000007767613,0.00004189963,0.00003903535,0.000005848363,0.9931051,0.004244026,0.0001912413,0.001435885,0.000008942582],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5598592,0.006101051,0.4013332,0.0008602076,0.0006420646,0.0002540814,0.002638569,0.01750295,0.01080858],"genre_scores_gemma":[0.911004,0.0009462769,0.07067791,0.0004619121,0.00006219869,0.0001231848,0.004036011,0.0002252476,0.01246314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01943172,"threshold_uncertainty_score":0.03863722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01057793134683496,"score_gpt":0.1980184354346694,"score_spread":0.1874405040878344,"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."}}