{"id":"W2972717469","doi":"10.36774/jusiti.v7i2.254","title":"Transformasi Citra Biner Menggunakan Metode Thresholding Dan Otsu Thresholding","year":2018,"lang":"id","type":"article","venue":"e-Jurnal JUSITI (Jurnal Sistem Informasi dan Teknologi Informasi)","topic":"Computer Science and Engineering","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Weyerhauser (Canada)","funders":"","keywords":"Thresholding; Grayscale; Artificial intelligence; Pixel; Physics; Computer vision; Computer science; Image (mathematics)","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":[0.0005930936,0.0007827057,0.0007346433,0.00117912,0.0006262482,0.002110994,0.0006350115,0.000808911,0.01570028],"category_scores_gemma":[0.001013019,0.0004156695,0.0007861624,0.001246234,0.0004853776,0.001295226,0.000847399,0.0009472115,0.004193228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006260805,"about_ca_system_score_gemma":0.001024034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003388582,"about_ca_topic_score_gemma":0.00638925,"domain_scores_codex":[0.9995486,0.00003185819,0.00003504173,0.0001175902,0.0001963425,0.00007050793],"domain_scores_gemma":[0.9995188,0.00008202064,0.00002690717,0.00007510804,0.0002686851,0.00002855133],"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":[0.0003959254,0.00006997795,0.002277944,0.0005050738,0.00006026283,0.0003765133,0.0003880985,0.006815804,0.2393213,0.007517974,0.01161131,0.7306597],"study_design_scores_gemma":[0.00006798732,0.0004377545,0.02116054,0.0002413191,0.0002412563,0.002005294,0.0008129075,0.2801112,0.5076888,0.01115072,0.1758638,0.0002185706],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1178584,0.002783304,0.8197159,0.0008612798,0.0007071167,0.0002962884,0.001016509,0.006953421,0.0498079],"genre_scores_gemma":[0.3636676,0.002281359,0.5364687,0.0004036422,0.0001589449,0.0002423779,0.002308794,0.001539598,0.09292895],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01570028,"threshold_uncertainty_score":0.05252266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02364976588363887,"score_gpt":0.24712761880734,"score_spread":0.2234778529237011,"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."}}