{"id":"W4417249806","doi":"10.1109/incit66780.2025.11276115","title":"Classification and Identification of Potato Leaf Disease Using Ensembling of Attention-Aided Deep Neural Networks Through Feature Fusion","year":2025,"lang":"","type":"article","venue":"","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Convolutional neural network; Identification (biology); Blight; Artificial neural network; Pattern recognition (psychology); Feature (linguistics); Deep learning","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":[0.0006275606,0.0005696067,0.0004519768,0.0005578822,0.0001852335,0.0003431261,0.0003988779,0.0004463745,0.000537901],"category_scores_gemma":[0.0007473005,0.0001750462,0.0003909004,0.0002156354,0.0001609184,0.00046086,0.0004526206,0.0003711504,0.0001807299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004238306,"about_ca_system_score_gemma":0.0003692975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004252991,"about_ca_topic_score_gemma":0.005901175,"domain_scores_codex":[0.9998059,0.00003492699,0.00001486631,0.00006592714,0.00003670217,0.0000416723],"domain_scores_gemma":[0.9996561,0.0001017828,0.0000422453,0.00004161483,0.0001277001,0.00003044362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000744346,0.0005372617,0.0240623,0.00009161582,0.0001900151,0.0003159111,0.0001581862,0.2132769,0.1213334,0.00106087,0.002715849,0.6355134],"study_design_scores_gemma":[0.000004723785,0.00007868816,0.002862522,0.000003769989,0.00001720881,0.00002950935,0.000007603134,0.988232,0.008312164,0.0002563518,0.0001878316,0.000007789556],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6200981,0.0008468159,0.3742304,0.0001744623,0.0001291996,0.00005803422,0.0002151739,0.002473437,0.001774521],"genre_scores_gemma":[0.9669489,0.00005994,0.0316015,0.00004319565,0.00001250019,0.00001593456,0.0002358901,0.00001221759,0.001069942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004252991,"threshold_uncertainty_score":0.008456469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02660405909152684,"score_gpt":0.2631274939902125,"score_spread":0.2365234348986857,"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."}}