{"id":"W4412721086","doi":"10.1109/iccsp64183.2025.11089441","title":"AI Driven Detecting plants and Animal Diseases","year":2025,"lang":"en","type":"article","venue":"","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Computer science","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":[0.0004660102,0.0005125228,0.0004562833,0.00072579,0.0003022619,0.0009061689,0.0006476093,0.0008660186,0.001449906],"category_scores_gemma":[0.001007924,0.0001968634,0.0003958762,0.0003791396,0.0003119721,0.0007463653,0.0005301749,0.0006567523,0.0006089795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008481684,"about_ca_system_score_gemma":0.0007368195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005740234,"about_ca_topic_score_gemma":0.008392528,"domain_scores_codex":[0.9997309,0.000029982,0.00001422974,0.0001024078,0.00008287434,0.00003971666],"domain_scores_gemma":[0.999352,0.0002207447,0.000108192,0.00005451334,0.0002170051,0.00004742426],"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":[0.000549853,0.0004859375,0.03816682,0.0006704064,0.0001627431,0.0006306281,0.0002814693,0.09724944,0.2625906,0.004965481,0.00974148,0.5845051],"study_design_scores_gemma":[0.0000150433,0.0002377267,0.01926918,0.00006662072,0.00006453013,0.0004827619,0.0001390464,0.9129522,0.05283014,0.005051242,0.008848875,0.00004273293],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2696816,0.002825836,0.6912727,0.002038344,0.000501779,0.0003214038,0.001655443,0.006907249,0.02479557],"genre_scores_gemma":[0.8652468,0.0008906861,0.1219525,0.0007237633,0.00008686539,0.00008200534,0.001071273,0.00005423515,0.0098918],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005740234,"threshold_uncertainty_score":0.01141363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006814314776793181,"score_gpt":0.2072740109321481,"score_spread":0.2004596961553549,"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."}}