{"id":"W4413906696","doi":"10.61132/neptunus.v3i3.1047","title":"Analisis Kerusakan pada Beton dengan Citra Digital Menggunakan Metode Edge Canny Detection","year":2025,"lang":"en","type":"article","venue":"Neptunus","topic":"Geotechnical and construction materials studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Canny edge detector; Computer science; Edge detection; Computer vision; Artificial intelligence; Image processing; 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":[0.0005884231,0.0005735333,0.0003602061,0.002643292,0.0003878059,0.001119605,0.0003195117,0.0005100748,0.005455809],"category_scores_gemma":[0.001082851,0.0002162412,0.0002462061,0.001578518,0.0003829425,0.0008884193,0.0004024979,0.0003739598,0.001587847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003544291,"about_ca_system_score_gemma":0.000435157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001955099,"about_ca_topic_score_gemma":0.003076308,"domain_scores_codex":[0.9994456,0.00004671837,0.00002616977,0.0001155025,0.0003026884,0.0000632325],"domain_scores_gemma":[0.9994307,0.0001278961,0.0000472543,0.00003997819,0.0003313018,0.00002275528],"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":[0.0004761723,0.0001059771,0.01522162,0.0006776866,0.00006064208,0.0003578388,0.0006550092,0.003590287,0.2935954,0.002121853,0.002840664,0.6802969],"study_design_scores_gemma":[0.00004401154,0.0007967034,0.171181,0.0002847901,0.0003064075,0.003477087,0.003187174,0.1512922,0.5926866,0.003065535,0.07342413,0.000254324],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6539772,0.003568977,0.3143662,0.000445714,0.0003188302,0.000181324,0.0007599667,0.002813635,0.0235681],"genre_scores_gemma":[0.7760086,0.001654587,0.2051511,0.0001123024,0.00004699176,0.0001199132,0.0007155995,0.000248236,0.01594265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005455809,"threshold_uncertainty_score":0.01825154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004262946586366253,"score_gpt":0.1853476817266994,"score_spread":0.1810847351403332,"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."}}