{"id":"W4387217147","doi":"10.59697/jik.v5i1.310","title":"IDENTIFIKASI JENIS BUNGA MENGGUNAKAN EKSTRAKSI CIRI ORDE SATU DAN ALGORITMA MULTI SUPPORT-VECTOR MACHINES (MULTISVM)","year":2021,"lang":"id","type":"article","venue":"Jurnal Informatika Kaputama (JIK)","topic":"Data Mining and Machine Learning Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Physics; Humanities; Art","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001508692,0.001228041,0.001231268,0.0006026066,0.001722459,0.004044582,0.003282579,0.0005673102,0.0006217992],"category_scores_gemma":[0.0008634705,0.001260302,0.0006886265,0.002056842,0.0003575484,0.004197726,0.002088238,0.00256653,0.003374646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002955196,"about_ca_system_score_gemma":0.001440204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005676436,"about_ca_topic_score_gemma":0.0003116949,"domain_scores_codex":[0.9918727,0.0005056689,0.002670145,0.001423753,0.001666283,0.001861424],"domain_scores_gemma":[0.9929094,0.0005219609,0.0015557,0.00283365,0.00100809,0.001171158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001026779,0.002387573,0.006086508,0.00120246,0.001282381,0.001068784,0.02945195,0.001431837,0.007329848,0.01173147,0.1022702,0.8356543],"study_design_scores_gemma":[0.003885051,0.0005796855,0.03261424,0.0005413421,0.0003597434,0.002714097,0.00144327,0.252152,0.005160355,0.0001242311,0.6980054,0.002420646],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3643225,0.003915362,0.5107516,0.02357799,0.01939581,0.003904392,0.004676772,0.004402239,0.06505328],"genre_scores_gemma":[0.739647,0.001307215,0.1841491,0.005422181,0.002361941,0.0003619629,0.005076852,0.0003655344,0.06130815],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8332337,"threshold_uncertainty_score":0.9997346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02240867874633059,"score_gpt":0.290960837281374,"score_spread":0.2685521585350434,"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."}}