{"id":"W4410300788","doi":"10.1016/j.asoc.2025.113152","title":"A generative framework for detection and classification of plant leaf disease using diffusion network","year":2025,"lang":"en","type":"article","venue":"Applied Soft Computing","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"Science and Engineering Research Board","keywords":"Computer science; Plant disease; Generative grammar; Diffusion; Artificial intelligence; Pattern recognition (psychology); Machine learning; Biology; Biotechnology; Physics","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":[0.001494021,0.0006930893,0.001136388,0.002027014,0.0006710018,0.001083818,0.002245112,0.001745077,0.001836533],"category_scores_gemma":[0.003097851,0.0009961425,0.001544529,0.001299083,0.001222989,0.00119118,0.001404979,0.001595626,0.0005601192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001600347,"about_ca_system_score_gemma":0.0008685084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0187272,"about_ca_topic_score_gemma":0.02220103,"domain_scores_codex":[0.9994254,0.0001581605,0.00002683787,0.0002134217,0.00009838639,0.00007777826],"domain_scores_gemma":[0.9982849,0.001170192,0.000157917,0.0001097158,0.0001930576,0.00008425952],"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":[0.00009383199,0.00007748743,0.003268298,0.00007576749,0.0001213594,0.0001833292,0.0001750411,0.8745471,0.006576851,0.04708672,0.001283909,0.06651028],"study_design_scores_gemma":[0.00000202165,0.000003545729,0.000160266,0.000002411848,0.000004825815,0.00001536569,0.000002453416,0.9947122,0.0001483584,0.004807853,0.0001363948,0.000004401555],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02114348,0.0003273058,0.9766213,0.0003522768,0.00003630244,0.00003472758,0.0001588045,0.0004630645,0.0008627092],"genre_scores_gemma":[0.8023909,0.0005909051,0.1881163,0.000297448,0.0001769434,0.0001782625,0.0006349609,0.0002308532,0.007383516],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0187272,"threshold_uncertainty_score":0.03723633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02237485165570123,"score_gpt":0.2389008506160944,"score_spread":0.2165259989603932,"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."}}