{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009684321,0.002119443,0.001547861,0.001894924,0.0005533886,0.002737508,0.00131389,0.001657267,0.005104633],"category_scores_gemma":[0.002194794,0.000563112,0.001338966,0.00152956,0.0003962594,0.00224467,0.0007725761,0.001577094,0.002418378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007374802,"about_ca_system_score_gemma":0.001304583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007946237,"about_ca_topic_score_gemma":0.005465569,"domain_scores_codex":[0.9993302,0.00007719521,0.00005983764,0.0002237553,0.0001972112,0.00011191],"domain_scores_gemma":[0.9990827,0.000321126,0.00008910174,0.00007482867,0.0003935926,0.00003859101],"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":[0.0003901873,0.0002477414,0.01063051,0.0007301238,0.0002501394,0.0005307521,0.0001752735,0.09440263,0.03257253,0.002276018,0.01134377,0.8464503],"study_design_scores_gemma":[0.00003136019,0.0001853516,0.01007414,0.0001063659,0.0001521995,0.0003650552,0.0002319194,0.9536583,0.02081196,0.00417676,0.01013586,0.00007070635],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1042278,0.005361933,0.8710123,0.00111625,0.0008231413,0.0002321047,0.001560055,0.007370204,0.008296226],"genre_scores_gemma":[0.7226925,0.004017876,0.2427962,0.0005540475,0.0003524878,0.0003492265,0.00364978,0.0005628127,0.02502508],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007946237,"threshold_uncertainty_score":0.01707667,"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."}}