{"id":"W4206618551","doi":"10.1109/access.2022.3142817","title":"Beans Leaf Diseases Classification Using MobileNet Models","year":2022,"lang":"en","type":"article","venue":"IEEE Access","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":219,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Leaf spot; Rust (programming language); Deep learning; Computer science; Hyperparameter; Contextual image classification; Artificial intelligence; Architecture; Pattern recognition (psychology); Machine learning; Image (mathematics); Horticulture; Biology; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000627694,0.00009776819,0.0001030736,0.000009204423,0.0005147716,0.0001146302,0.0004611459,0.00002902333,0.0005083187],"category_scores_gemma":[0.000003824497,0.00003619193,0.00007356096,0.0003700298,0.0000214687,0.0003969557,0.0001218793,0.00009246649,0.000007406356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004192945,"about_ca_system_score_gemma":0.00000800215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002993418,"about_ca_topic_score_gemma":0.00009874604,"domain_scores_codex":[0.999119,0.00006419304,0.0001327901,0.0002558658,0.0002382583,0.0001899038],"domain_scores_gemma":[0.9997157,0.00005119739,0.00007281887,0.00005693009,0.00003507498,0.0000683164],"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":[0.0001155485,0.001073087,0.09622569,0.00002096561,0.00007043736,0.00002754692,0.0003681778,0.03913049,0.6682776,0.001408371,0.07255834,0.1207238],"study_design_scores_gemma":[0.0004996612,0.0004100553,0.8204874,0.00002466482,0.0001611734,0.00004152345,0.002266975,0.03195944,0.0108381,0.01224942,0.1197639,0.001297679],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977199,0.0002160961,0.00005053481,0.0005769288,0.0003595406,0.0001707182,0.0001284208,0.00008180948,0.0006960793],"genre_scores_gemma":[0.9985859,0.00001771074,0.000008757032,0.0004932029,0.0004806279,0.0000690591,0.0001349036,8.59084e-7,0.0002090104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7242618,"threshold_uncertainty_score":0.5565733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1060395078041815,"score_gpt":0.2822540764757433,"score_spread":0.1762145686715618,"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."}}