{"id":"W4395112476","doi":"10.18280/ria.380216","title":"Plant Leaf Disease Detection Using Metaheuristic Optimization Algorithms and Deep Learning","year":2024,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metaheuristic; Artificial intelligence; Computer science; Machine learning; Deep learning; Algorithm","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":[0.0008479281,0.001248055,0.0009865481,0.0008992138,0.0003330196,0.000966823,0.001227927,0.001629705,0.001521721],"category_scores_gemma":[0.001948682,0.0005581707,0.001059694,0.0008247941,0.0004909032,0.0008414215,0.0007922481,0.001394124,0.0003547954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001287052,"about_ca_system_score_gemma":0.001350082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01241625,"about_ca_topic_score_gemma":0.01409689,"domain_scores_codex":[0.9997743,0.00006421423,0.00001600507,0.00005623595,0.00004677979,0.00004242788],"domain_scores_gemma":[0.9990776,0.0005978487,0.00009292996,0.00004413952,0.0001560981,0.00003136095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005530673,0.00008285778,0.0007939594,0.00006638523,0.00005688799,0.00003343475,0.0000216437,0.9453908,0.001201866,0.001021746,0.0006016226,0.05067361],"study_design_scores_gemma":[0.000003931796,0.00001051542,0.00005505716,0.000003219979,0.000002395294,0.000002572701,0.000003944306,0.999241,0.0001942162,0.0003853603,0.00009652368,0.000001359392],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1171842,0.00188571,0.8713998,0.0006990047,0.0001139289,0.000172639,0.0002758927,0.00189343,0.006375399],"genre_scores_gemma":[0.5837828,0.0005641147,0.4104412,0.0003665375,0.00005136773,0.0002907134,0.0005968393,0.0001358788,0.003770536],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01241625,"threshold_uncertainty_score":0.02468795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03293130906460971,"score_gpt":0.2375422735060737,"score_spread":0.204610964441464,"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."}}