{"id":"W7154593260","doi":"10.1109/imc-ssgp67001.2025.11473987","title":"Vision Transformer-Assisted Defect Classification and YOLOv8-Based Localization in Industrial Quality Control","year":2025,"lang":"","type":"article","venue":"","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cégep de Rimouski; Université du Québec à Rimouski","funders":"","keywords":"Quality (philosophy); Control (management); Control system; Automation; Machine vision","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":[0.0004658428,0.0006786831,0.0004972458,0.0008227058,0.0001723694,0.0005232827,0.001197113,0.0005585701,0.001091695],"category_scores_gemma":[0.0006647513,0.000255681,0.0003777274,0.0003855496,0.0004061605,0.0007298246,0.0007623113,0.0004258714,0.0005186022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005692339,"about_ca_system_score_gemma":0.000656228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005587895,"about_ca_topic_score_gemma":0.006467404,"domain_scores_codex":[0.99964,0.00003389964,0.00001204979,0.0001278442,0.000129907,0.00005637407],"domain_scores_gemma":[0.9997175,0.00004193372,0.00005692025,0.00004714078,0.0001114009,0.0000249294],"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":[0.0003965903,0.0002101999,0.006935133,0.0001622331,0.00007482489,0.0001849995,0.0001455523,0.1741882,0.1191446,0.002007824,0.003259677,0.6932901],"study_design_scores_gemma":[0.00001467278,0.0001511436,0.002201881,0.000008007531,0.00002049793,0.00008463549,0.00002756215,0.9620983,0.03320571,0.0005469434,0.001628099,0.00001251991],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2043541,0.000619067,0.7816676,0.0001550053,0.00007865534,0.00007644075,0.0001234752,0.008991452,0.00393426],"genre_scores_gemma":[0.8743882,0.00015306,0.1220865,0.000088861,0.00001686462,0.00003698157,0.0003157386,0.0001169603,0.002796776],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005587895,"threshold_uncertainty_score":0.01111078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04667758256357073,"score_gpt":0.3106578179568654,"score_spread":0.2639802353932946,"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."}}