{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005605012,0.0001786228,0.0002207855,0.0001271199,0.0001425397,0.0001048495,0.0001155898,0.0001040126,0.00004824865],"category_scores_gemma":[0.00003254694,0.0001727559,0.00008437246,0.0003408076,0.00005546951,0.0001369213,0.0000539135,0.0001498898,0.00003423037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000810502,"about_ca_system_score_gemma":0.00001343147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000130716,"about_ca_topic_score_gemma":0.0001464573,"domain_scores_codex":[0.999182,0.00001640057,0.0002393714,0.0001939884,0.0001159982,0.000252271],"domain_scores_gemma":[0.9996489,0.00003033731,0.00002333719,0.0001916691,0.00004417278,0.00006157636],"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":[0.00007746417,0.00009563426,0.00559585,0.0004351278,0.00106192,0.00003576867,0.0004546853,0.007854952,0.2838629,0.00263261,0.00874913,0.6891439],"study_design_scores_gemma":[0.001584877,0.0001768972,0.07143955,0.0001779224,0.0003635799,0.00005300965,0.001726335,0.005378193,0.6927358,0.005996694,0.2188666,0.001500551],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9778534,0.0004055089,0.004364986,0.0001286499,0.001424354,0.0001404962,0.00004108263,0.0007632312,0.01487828],"genre_scores_gemma":[0.9993765,0.00004555822,0.00009215516,0.0000484549,0.0001415672,0.00003788566,0.000007410805,0.0000165494,0.0002339481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6876433,"threshold_uncertainty_score":0.704478,"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."}}