{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005630717,0.0008607854,0.0008320565,0.001247318,0.001157246,0.002392611,0.002589748,0.0006642324,0.01485217],"category_scores_gemma":[0.003754343,0.0004639682,0.0004417074,0.00305305,0.0006191635,0.003881227,0.003230371,0.0007732994,0.003670955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001103899,"about_ca_system_score_gemma":0.001640366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004242455,"about_ca_topic_score_gemma":0.004883753,"domain_scores_codex":[0.9991443,0.0000791118,0.00008470888,0.00019404,0.0003232994,0.0001745461],"domain_scores_gemma":[0.9978504,0.0004849841,0.000187865,0.0009438149,0.0003793512,0.0001536427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002392417,0.0004130401,0.005706862,0.0005022651,0.00009300544,0.0003027705,0.0006808933,0.04574272,0.0589765,0.1001465,0.05342683,0.7316162],"study_design_scores_gemma":[0.0002615404,0.0004373266,0.002753604,0.000128462,0.0001021376,0.0008499335,0.0006088454,0.65409,0.1187417,0.1199611,0.1019122,0.0001530982],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03799497,0.0008512216,0.9331592,0.0004135195,0.0002116467,0.0003257523,0.001364823,0.01306785,0.01261095],"genre_scores_gemma":[0.3299746,0.0005046361,0.6514653,0.0004682908,0.0001356236,0.0003769005,0.003026083,0.0007889427,0.0132596],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01485217,"threshold_uncertainty_score":0.04968542,"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."}}