{"id":"W7117612716","doi":"10.18280/isi.301110","title":"Robusta Coffee Disease Classification Using Optimized MobileNetV3 and DenseNet169","year":2025,"lang":"","type":"article","venue":"Ingénierie des systèmes d information","topic":"Coffee research and impacts","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Green coffee; Support vector machine; Identification (biology); Pattern recognition (psychology)","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":[0.001507987,0.002539491,0.002296529,0.003556108,0.001146691,0.001816936,0.00192617,0.002324773,0.00770652],"category_scores_gemma":[0.003298074,0.0006238168,0.002231663,0.001839904,0.0004597438,0.001284868,0.001672431,0.001046578,0.005251398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001080756,"about_ca_system_score_gemma":0.002341539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03892453,"about_ca_topic_score_gemma":0.05430264,"domain_scores_codex":[0.9989381,0.0001689278,0.00007679485,0.0003903708,0.00018105,0.0002447441],"domain_scores_gemma":[0.999413,0.0001914233,0.00004067002,0.0001246391,0.0001797825,0.00005048459],"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":[0.003217761,0.001013114,0.02307876,0.0008236946,0.001477011,0.0006600853,0.0001798081,0.09911688,0.01887443,0.003000442,0.106498,0.7420602],"study_design_scores_gemma":[0.0002746954,0.0004350714,0.008879418,0.000105651,0.0003717103,0.0004198178,0.0002227168,0.9532584,0.009337122,0.006695314,0.01992542,0.00007474536],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4324639,0.0143392,0.409046,0.003394854,0.003152296,0.001413962,0.05947031,0.05969204,0.01702746],"genre_scores_gemma":[0.6465848,0.001367028,0.2254931,0.001034634,0.0008134237,0.0007704382,0.1048872,0.001264182,0.0177853],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03892453,"threshold_uncertainty_score":0.07739592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03739145876065883,"score_gpt":0.308903470659522,"score_spread":0.2715120118988631,"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."}}