{"id":"W4409709723","doi":"10.31850/jmosfet.v5i1.3638","title":"Deteksi Tepi Optimal dengan Integrasi Canny, CLAHE, dan Perona-Malik Diffusion Filter","year":2025,"lang":"en","type":"article","venue":"Jurnal Mosfet","topic":"Computer Science and Engineering","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Adaptive histogram equalization; Computer science; Mathematics; Computer vision; Histogram; Image (mathematics); Histogram equalization","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":[],"consensus_categories":[],"category_scores_codex":[0.0003082815,0.0002319018,0.0002249693,0.0002722458,0.0002497838,0.0004424145,0.001691223,0.00008560449,0.00001002118],"category_scores_gemma":[0.00004346049,0.0001995623,0.0001263326,0.0007766394,0.00004892601,0.0007141784,0.0008265023,0.0003841975,0.00002892855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001164681,"about_ca_system_score_gemma":0.0001378691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000683715,"about_ca_topic_score_gemma":0.00003928951,"domain_scores_codex":[0.9982648,0.00004765034,0.0003115757,0.0005087098,0.0003578493,0.00050935],"domain_scores_gemma":[0.9989508,0.0000828187,0.00005424075,0.0006440636,0.00008213513,0.0001859386],"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":[0.00003547426,0.0003183785,0.01741459,0.0001040967,0.0001105695,0.0003630187,0.003680725,0.01873288,0.02317574,0.06404673,0.02148636,0.8505315],"study_design_scores_gemma":[0.0005841472,0.0001493235,0.07918713,0.0002169914,0.00001643434,0.0001241782,0.00009748522,0.8447996,0.005388688,0.0007226793,0.06815445,0.0005589263],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.363993,0.0001240353,0.6312435,0.001123723,0.00124945,0.00008505964,0.000001220243,0.0001847934,0.001995227],"genre_scores_gemma":[0.9582492,0.00003660368,0.03916125,0.001009809,0.0001792961,0.00001407464,0.00000215814,0.00001133706,0.001336315],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8499725,"threshold_uncertainty_score":0.8137913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00731804687017795,"score_gpt":0.2263392744504841,"score_spread":0.2190212275803061,"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."}}