{"id":"W4312177527","doi":"10.18280/ria.360512","title":"Automatic Detection and Classification of Apple Leaves Diseases Using MobileNet V2","year":2022,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Software deployment; Computer science; Convolutional neural network; Artificial intelligence; Agricultural engineering; Machine learning; Biology; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0003155235,0.0009877613,0.000355145,0.001027754,0.000229982,0.0004102312,0.000563724,0.0006184985,0.001178516],"category_scores_gemma":[0.0004217425,0.0001318774,0.0003133911,0.0003218085,0.000138943,0.0003909341,0.0003587742,0.0002838642,0.0004272018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007089038,"about_ca_system_score_gemma":0.0004676754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.018008,"about_ca_topic_score_gemma":0.02372717,"domain_scores_codex":[0.9998857,0.00001454197,0.000008175795,0.00004193933,0.00001776377,0.00003187529],"domain_scores_gemma":[0.9998602,0.00004108484,0.00001768689,0.0000136873,0.00005019156,0.00001720624],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001533679,0.001293523,0.0671181,0.0005560199,0.000399837,0.001559823,0.0003417649,0.1375517,0.1245913,0.001352801,0.03478977,0.6289117],"study_design_scores_gemma":[0.0000592095,0.0005186832,0.03818816,0.00005252484,0.00007249866,0.0002738289,0.0002259693,0.9165967,0.03604385,0.000999882,0.006928619,0.00004006984],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9332657,0.001342875,0.04738849,0.000392081,0.0003052295,0.0001945795,0.004308817,0.007798752,0.005003509],"genre_scores_gemma":[0.949021,0.0002541019,0.03850889,0.000189523,0.00004618828,0.0001051106,0.007588438,0.00006217732,0.004224561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.018008,"threshold_uncertainty_score":0.03580636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04169103577234452,"score_gpt":0.2437864794909658,"score_spread":0.2020954437186213,"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."}}