{"id":"W4413759308","doi":"10.1016/j.patcog.2025.112332","title":"LayerMix: Enhanced Data Augmentation for Robust Deep Learning","year":2025,"lang":"en","type":"article","venue":"Pattern Recognition","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"InStream Fisheries Research (Canada); University of Windsor","funders":"Mitacs","keywords":"Artificial intelligence; Computer science; Deep learning; Machine learning","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001668239,0.0000707555,0.00006828235,0.00008931413,0.0001944635,0.0001022537,0.000392675,0.00004449873,0.00002535699],"category_scores_gemma":[0.00003075626,0.00007762695,0.00002885083,0.0002170285,0.000009789537,0.0003896437,0.0001394597,0.00007665915,0.00004749826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003053371,"about_ca_system_score_gemma":0.00001420577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001902369,"about_ca_topic_score_gemma":0.00002365434,"domain_scores_codex":[0.9992845,0.00002880054,0.0001614298,0.000341026,0.00006746122,0.000116747],"domain_scores_gemma":[0.9993876,0.00007275164,0.00008310918,0.000345312,0.00008938069,0.00002190814],"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":[0.00000230595,0.00002125956,0.00006725772,0.00001675269,0.000006880852,9.185953e-8,0.0000318286,0.00003367378,0.001868408,0.0001387438,0.0003306468,0.9974821],"study_design_scores_gemma":[0.0007751802,0.0001246226,0.002503366,0.0001014824,0.00004193558,0.000003823755,0.0001282193,0.8398582,0.1315312,0.01484109,0.00975434,0.0003365846],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004155847,0.00001845609,0.9932944,0.0004730737,0.0001302541,0.0003577271,0.0000160502,0.0003238775,0.001230282],"genre_scores_gemma":[0.8617547,0.00005124122,0.1361889,0.0005174027,0.00007315278,0.0004835896,0.0005549127,0.000008422871,0.0003677501],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9971456,"threshold_uncertainty_score":0.3165535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06046658496043765,"score_gpt":0.3148666183039309,"score_spread":0.2544000333434933,"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."}}