{"id":"W3127389438","doi":"","title":"PENGOLAHAN CITRA UNTUK IDENTIFIKASI KEMATANGAN BUAH JERUK DENGAN MENGGUNAKAN METODE BACKPROPAGATION BERDASARKAN NILAI HSV","year":2021,"lang":"id","type":"article","venue":"","topic":"Computer Science and Engineering","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Ripeness; Backpropagation; Citrus fruit; Horticulture; Computer science; Artificial intelligence; Biology; Artificial neural network; Ripening","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":[0.0003084871,0.0009544248,0.0004830122,0.0005594675,0.0004350363,0.001320868,0.0006157641,0.0007449974,0.006547615],"category_scores_gemma":[0.0008532485,0.0002725885,0.0004189087,0.0004362851,0.0003321917,0.001327294,0.0005250594,0.000920015,0.00217583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003916526,"about_ca_system_score_gemma":0.000520751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004742343,"about_ca_topic_score_gemma":0.005345586,"domain_scores_codex":[0.9998179,0.00001835329,0.00001275064,0.00006185323,0.00005888616,0.00003023702],"domain_scores_gemma":[0.9997888,0.0000603436,0.00001564651,0.00001824848,0.0001053414,0.00001166766],"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":[0.0004809582,0.0001699929,0.003941535,0.0005181571,0.0001230253,0.0005731419,0.0003320155,0.08571691,0.06914607,0.00577029,0.008036816,0.8251911],"study_design_scores_gemma":[0.00004460184,0.0002212581,0.006883838,0.000162092,0.0001123885,0.0008299503,0.0004483268,0.9081803,0.05086476,0.006468519,0.02568407,0.00009987704],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1705188,0.006024268,0.7692804,0.001050449,0.0009828456,0.0002203908,0.0006440356,0.005120916,0.04615784],"genre_scores_gemma":[0.7621944,0.00290443,0.1861776,0.0003404247,0.000118491,0.000143856,0.0009870433,0.0003420439,0.04679177],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006547615,"threshold_uncertainty_score":0.02190399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0162984302990276,"score_gpt":0.2301427368319889,"score_spread":0.2138443065329613,"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."}}