{"id":"W4407248296","doi":"10.1109/aibthings63359.2024.10863407","title":"Comparative Analysis of AlexNet, GoogLeNet, VGG19, ResNet50, and ResNet101 for Improved Plant Disease Detection Through Convolutional Neural Networks","year":2024,"lang":"en","type":"article","venue":"","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Convolutional neural network; Computer science; Artificial intelligence; Pattern recognition (psychology)","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":[0.00257979,0.002482667,0.0009184071,0.002875509,0.00044372,0.001092247,0.001564936,0.00122088,0.002037559],"category_scores_gemma":[0.004032654,0.0003915296,0.0009278989,0.001439057,0.0004414601,0.00310698,0.0006011655,0.0009067506,0.001033423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002137009,"about_ca_system_score_gemma":0.001362001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03918243,"about_ca_topic_score_gemma":0.0461686,"domain_scores_codex":[0.9991027,0.0001589021,0.00007970897,0.0002070834,0.0002561659,0.0001954099],"domain_scores_gemma":[0.9985523,0.0006436941,0.0001145687,0.0001547225,0.000428545,0.000106314],"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":[0.0036375,0.001316841,0.02579685,0.001782454,0.001251509,0.0007768674,0.0001824446,0.3996175,0.01973567,0.004457935,0.04923679,0.4922077],"study_design_scores_gemma":[0.00007831128,0.000613303,0.008820137,0.00009827017,0.0002170976,0.0001314665,0.000102661,0.9709483,0.0142834,0.00116889,0.0034922,0.00004597141],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9184342,0.01595054,0.03016241,0.001392075,0.0009592117,0.0002114858,0.005228682,0.008613457,0.01904797],"genre_scores_gemma":[0.9467047,0.003517244,0.02769629,0.0003528905,0.0001104928,0.0001123542,0.01438435,0.0004049588,0.006716596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03918243,"threshold_uncertainty_score":0.07790869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02629093964212312,"score_gpt":0.2482768466448997,"score_spread":0.2219859070027766,"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."}}