{"id":"W4316464168","doi":"10.18280/ts.390602","title":"Evaluation of Machine Learning Models for Plant Disease Classification Using Modified GLCM and Wavelet Based Statistical Features","year":2022,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wavelet; Artificial intelligence; Computer science; Statistical learning; Pattern recognition (psychology); Machine learning","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":[0.003442264,0.001460978,0.00118943,0.001807781,0.0003819898,0.0009675786,0.001031473,0.001156391,0.0008724827],"category_scores_gemma":[0.005059065,0.0002265112,0.001153911,0.001193488,0.0002452988,0.001026858,0.0004922443,0.001100733,0.000660449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007140583,"about_ca_system_score_gemma":0.0008285483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006412568,"about_ca_topic_score_gemma":0.003671077,"domain_scores_codex":[0.9989021,0.0003288262,0.0001113205,0.0002146881,0.0002933887,0.0001496255],"domain_scores_gemma":[0.9975128,0.001426663,0.0001810862,0.0001426798,0.0006560438,0.00008065494],"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":[0.001590603,0.001091989,0.02539165,0.0005684166,0.0005278657,0.0002279459,0.0001246304,0.5292328,0.009193104,0.0008672772,0.004871089,0.4263127],"study_design_scores_gemma":[0.00001417797,0.0002211547,0.00341469,0.00002464985,0.00003740102,0.00003584535,0.00004338081,0.9934933,0.002158913,0.0002200284,0.0003233181,0.00001309256],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7362499,0.007595966,0.2441495,0.001186542,0.0006684603,0.0002975026,0.00151456,0.00353313,0.004804502],"genre_scores_gemma":[0.9401529,0.0009157473,0.05514546,0.00010749,0.00006932853,0.0001438484,0.001978648,0.00005305372,0.001433481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006412568,"threshold_uncertainty_score":0.01820463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1138716622162003,"score_gpt":0.2679672585373123,"score_spread":0.154095596321112,"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."}}