{"id":"W4413681759","doi":"10.1016/j.patrec.2025.08.021","title":"An asymmetric teacher-student network based industrial vision model for abnormal grain detection of semiconductor cooling devices","year":2025,"lang":"en","type":"article","venue":"Pattern Recognition Letters","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Semiconductor; Computer science; Artificial intelligence; Computer vision; Materials science; Optoelectronics","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":[0.0006812208,0.0006382801,0.00095925,0.0006418503,0.0003863681,0.0009019171,0.002095765,0.001643707,0.003208189],"category_scores_gemma":[0.001421201,0.0003806583,0.0005973237,0.0005683754,0.0005226207,0.001172731,0.000675564,0.001081466,0.0005708848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001616291,"about_ca_system_score_gemma":0.001047486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02761878,"about_ca_topic_score_gemma":0.02222136,"domain_scores_codex":[0.9996279,0.00006285471,0.00001209683,0.0001505992,0.00005360985,0.00009280513],"domain_scores_gemma":[0.9993826,0.0002180426,0.00009084427,0.00003513365,0.0002163495,0.00005694885],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002845714,0.000135716,0.002967327,0.00005400033,0.0000559207,0.0001367363,0.00007805075,0.9581063,0.001931101,0.006916962,0.0012183,0.02811503],"study_design_scores_gemma":[0.000003262374,0.000009577893,0.0001816349,0.000001310423,0.000006247159,0.000007229684,0.000003280854,0.9991854,0.00009200669,0.0004534393,0.00005433237,0.000002209659],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2578081,0.001002618,0.7262346,0.001276934,0.0001872027,0.0000943545,0.0007446619,0.0009786044,0.01167304],"genre_scores_gemma":[0.9878584,0.0001468776,0.006881606,0.00005799189,0.00002682504,0.00004716969,0.0001484892,0.00002108746,0.00481146],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02761878,"threshold_uncertainty_score":0.05491608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03409052201154186,"score_gpt":0.2747255380672513,"score_spread":0.2406350160557094,"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."}}