{"id":"W4413146070","doi":"10.1109/cvpr52734.2025.02349","title":"Closest Neighbors are Harmful for Lightweight Masked Auto-encoders","year":2025,"lang":"en","type":"article","venue":"","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"National Science Foundation","keywords":"Computer science; Encoder; Operating system","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":[0.001277553,0.001123982,0.0009868169,0.0004257241,0.0005401624,0.00112963,0.002304621,0.001183311,0.005094049],"category_scores_gemma":[0.00710914,0.0007565118,0.0007110731,0.0003690835,0.001120053,0.003418103,0.002374485,0.002907403,0.002763252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000753135,"about_ca_system_score_gemma":0.00124774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005708775,"about_ca_topic_score_gemma":0.009795409,"domain_scores_codex":[0.9988434,0.0002420538,0.00006881303,0.0003920764,0.0003124559,0.0001411785],"domain_scores_gemma":[0.9980586,0.0008028406,0.000127558,0.0006777961,0.000253495,0.00007969169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001039246,0.0002294787,0.004074106,0.0004343041,0.000175981,0.0006467543,0.000429846,0.1737107,0.04429963,0.03480916,0.0258385,0.7143124],"study_design_scores_gemma":[0.00003789004,0.0001200206,0.0004920014,0.00004304857,0.00003093079,0.000300771,0.00007173664,0.9442114,0.02620193,0.02354115,0.00492632,0.00002279972],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09333264,0.001726593,0.8801442,0.001049512,0.0003704593,0.0001164497,0.0005413565,0.01578353,0.006935163],"genre_scores_gemma":[0.7945702,0.000512898,0.1903378,0.001012077,0.0001059253,0.0001303038,0.001371008,0.001168045,0.01079186],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005708775,"threshold_uncertainty_score":0.01704133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01089770174002039,"score_gpt":0.2265562935079193,"score_spread":0.2156585917678989,"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."}}