{"id":"W4416250848","doi":"10.1109/ijcnn64981.2025.11229407","title":"Shared Knowledge Base for Multi Deep Learning in Defect Detection","year":2025,"lang":"","type":"article","venue":"","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brandon University","funders":"","keywords":"Anomaly detection; Deep learning; Anomaly (physics); Knowledge base; Baseline (sea); Base (topology); Visualization; Pattern recognition (psychology)","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":[0.00216319,0.001787533,0.002116255,0.004085991,0.001017682,0.002423619,0.004779154,0.002748393,0.004021584],"category_scores_gemma":[0.00656573,0.0008152362,0.001655659,0.002628116,0.001061104,0.004312058,0.003520962,0.002737916,0.001404439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002408113,"about_ca_system_score_gemma":0.002444834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.015785,"about_ca_topic_score_gemma":0.01772259,"domain_scores_codex":[0.9982138,0.0002590866,0.0001610791,0.0006370124,0.000528646,0.0002003691],"domain_scores_gemma":[0.9969495,0.0009635843,0.0002582215,0.0008264744,0.0008687974,0.0001334149],"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":[0.0003493623,0.0006839869,0.003525367,0.000317706,0.0004510396,0.0005000086,0.0001176003,0.3429025,0.003714301,0.01036657,0.01719634,0.6198753],"study_design_scores_gemma":[0.00001956549,0.00006539231,0.000480965,0.00004825531,0.0000669463,0.00005413019,0.00003289007,0.9740622,0.00260026,0.02004279,0.002506498,0.00002008238],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05000335,0.003718012,0.9287456,0.001279011,0.0002996472,0.0001777987,0.002894195,0.006631561,0.006250728],"genre_scores_gemma":[0.8082583,0.001273459,0.1764914,0.0009730416,0.0001698436,0.0003618015,0.007728235,0.000204274,0.004539633],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.015785,"threshold_uncertainty_score":0.03138626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0307746184099845,"score_gpt":0.315913304856236,"score_spread":0.2851386864462515,"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."}}