{"id":"W4300181884","doi":"10.1145/1328911.1328925","title":"Hierarchical bin buffering","year":2008,"lang":"en","type":"article","venue":"ACM Transactions on Algorithms","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bin; Computer science; Mathematics; Theoretical computer science; Algorithm","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":[0.0001154193,0.0001958848,0.0001829956,0.0001918539,0.0005932673,0.00007379983,0.001375406,0.0000948079,0.00009694287],"category_scores_gemma":[0.00001818835,0.0001730932,0.0001166068,0.0004776229,0.0000870825,0.0006172143,0.00005545944,0.0004058422,0.0002724046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005374766,"about_ca_system_score_gemma":0.00006563855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006077138,"about_ca_topic_score_gemma":0.000002647865,"domain_scores_codex":[0.998417,0.00005663761,0.0002356594,0.0005131182,0.0004185067,0.0003591076],"domain_scores_gemma":[0.9982319,0.0001534763,0.00004052674,0.001327085,0.0000472178,0.0001997562],"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":[0.00001219334,0.0003054663,0.00001780508,0.000005438209,0.00002759289,0.0001353209,0.0004241609,0.0008890948,0.0004563938,0.001199545,0.0005888412,0.9959381],"study_design_scores_gemma":[0.004402859,0.001448562,0.0150189,0.0001948301,0.0000452915,0.002309589,0.0001046433,0.8008988,0.04802062,0.02171441,0.1033837,0.002457765],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004041519,0.00006071384,0.9928628,0.001231847,0.000719901,0.0001187581,0.0000166266,0.0004320671,0.0005157876],"genre_scores_gemma":[0.2530878,0.0002210835,0.7453219,0.0005303461,0.0001471888,0.00004633866,0.000006479251,0.00002456367,0.0006143041],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9934804,"threshold_uncertainty_score":0.7058535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03352621315671701,"score_gpt":0.2591905613860787,"score_spread":0.2256643482293617,"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."}}