{"id":"W4406271517","doi":"10.48550/arxiv.2501.04861","title":"LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning","year":2025,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Image and Signal Denoising Methods","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Mitacs; University of Windsor","keywords":"Fractal; Deep learning; Artificial intelligence; Computer science; Mathematics; Mathematical analysis","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001071147,0.00122224,0.0006556532,0.0007668677,0.0003500339,0.0009660969,0.001500769,0.0008680922,0.00240028],"category_scores_gemma":[0.003181053,0.0004810521,0.0008714001,0.0006596187,0.001013715,0.002002476,0.00301077,0.002136947,0.0009914601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006012563,"about_ca_system_score_gemma":0.0007690694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001055266,"about_ca_topic_score_gemma":0.001822306,"domain_scores_codex":[0.99962,0.00006892566,0.00002137499,0.0001033117,0.0001528152,0.00003363714],"domain_scores_gemma":[0.9992411,0.0002519241,0.00009038235,0.0002740711,0.0001009313,0.00004156611],"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":[0.0003798563,0.0002799875,0.003076975,0.0003365876,0.0002421561,0.0002606537,0.0002884607,0.4385954,0.08674534,0.03229106,0.01355271,0.4239509],"study_design_scores_gemma":[0.00001597879,0.00007116568,0.0002191223,0.00001552306,0.00001638536,0.000075027,0.00001468905,0.9660156,0.01878596,0.0114463,0.003308896,0.00001531121],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02085681,0.0002804032,0.973556,0.000236202,0.00007253366,0.00005368058,0.0002352968,0.003572543,0.001136568],"genre_scores_gemma":[0.3723835,0.0004355045,0.6199369,0.0004520792,0.0001046404,0.000281097,0.001707745,0.0009438858,0.003754683],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00240028,"threshold_uncertainty_score":0.008029759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1599557602045776,"score_gpt":0.2723695560137051,"score_spread":0.1124137958091275,"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."}}