{"id":"W4388050946","doi":"10.18280/ts.400523","title":"A Capsule Attention Network for Plant Disease Classification","year":2023,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Artificial intelligence; Computer science; Machine learning; Feed forward; Categorization; Plant disease; Identification (biology); Transfer of learning; Deep learning; Engineering; Biotechnology; Control engineering","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":[0.000363833,0.0007264176,0.0003924821,0.0004630026,0.00030798,0.0005351622,0.001106433,0.0007255784,0.002224488],"category_scores_gemma":[0.0006828741,0.0001932719,0.0005533551,0.0004078065,0.0002974581,0.0007931983,0.0007185127,0.0006866623,0.0005180503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009167913,"about_ca_system_score_gemma":0.0005901288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008844199,"about_ca_topic_score_gemma":0.008818808,"domain_scores_codex":[0.9998395,0.00002052804,0.000007703024,0.00005886408,0.00003534545,0.00003787622],"domain_scores_gemma":[0.9998179,0.00004664974,0.00001997866,0.00001741131,0.0000818079,0.00001632746],"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":[0.0006196124,0.0003931398,0.006770065,0.0001580655,0.0001507123,0.0004102964,0.000135601,0.3101172,0.05123929,0.005607555,0.009729189,0.6146693],"study_design_scores_gemma":[0.000006348569,0.00007796645,0.0008984038,0.000005676382,0.00002476336,0.00003876673,0.000009893338,0.992595,0.004672436,0.0008976815,0.0007650085,0.000008007829],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.162015,0.001203999,0.8236089,0.0006837663,0.000292667,0.0001409233,0.0004475405,0.002775057,0.008832086],"genre_scores_gemma":[0.9130216,0.000418879,0.07465748,0.00040553,0.00009950132,0.0001034574,0.0008143843,0.00004233374,0.0104368],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008844199,"threshold_uncertainty_score":0.01758546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04123520812090255,"score_gpt":0.2229790666586877,"score_spread":0.1817438585377852,"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."}}