{"id":"W4402916713","doi":"10.1109/icip51287.2024.10648249","title":"Learned Compression of Encoding Distributions","year":2024,"lang":"en","type":"article","venue":"","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Encoding (memory); Computer science; Compression (physics); Data compression; Artificial intelligence; Materials science","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":[0.0007581891,0.0009935838,0.0006017582,0.0006902566,0.0002981918,0.0008423538,0.001065381,0.0007462753,0.004035762],"category_scores_gemma":[0.006127507,0.0003164176,0.0004314916,0.0009059989,0.0007179364,0.002207598,0.001437221,0.001562098,0.00143741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007880376,"about_ca_system_score_gemma":0.0009074589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001530945,"about_ca_topic_score_gemma":0.001941893,"domain_scores_codex":[0.9993649,0.0001310867,0.00003897501,0.0001425936,0.0002504279,0.00007204115],"domain_scores_gemma":[0.9982024,0.0006244532,0.0001011391,0.0006565975,0.0003621683,0.00005312506],"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":[0.0005425159,0.000183917,0.001802654,0.0001601432,0.00005927311,0.0003042808,0.0002327068,0.2995376,0.04436433,0.0503162,0.009333765,0.5931627],"study_design_scores_gemma":[0.00002424522,0.00005967694,0.0003186854,0.0000210868,0.00001148412,0.000181053,0.00002736316,0.9502869,0.02730508,0.01864206,0.003104628,0.00001774913],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03777555,0.0003265019,0.9559035,0.0003464596,0.0001044703,0.00007718209,0.0003626733,0.002244337,0.002859234],"genre_scores_gemma":[0.5811313,0.0006181403,0.4059861,0.0003943263,0.0001691084,0.0002791319,0.001792787,0.0006701124,0.008958983],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004035762,"threshold_uncertainty_score":0.01350099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0297064461025144,"score_gpt":0.2981554495130548,"score_spread":0.2684490034105404,"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."}}