{"id":"W1991615886","doi":"10.1109/dcc.2007.18","title":"Bit Recycling with Prefix Codes","year":2007,"lang":"en","type":"article","venue":"","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Multiplicity (mathematics); Computer science; Algorithm; Gas compressor; Sequence (biology); Set (abstract data type); Task (project management); Prefix; Arithmetic; Theoretical computer science; Mathematics; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002497782,0.00006045439,0.00006176475,0.00004198126,0.00007925866,0.00008262522,0.0003888143,0.00002339835,0.00002122071],"category_scores_gemma":[0.000006129867,0.00003725214,0.00001183929,0.0001744557,0.00001523056,0.0003961122,0.0001674466,0.00005756674,0.00004010641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008783409,"about_ca_system_score_gemma":0.0000156699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005196319,"about_ca_topic_score_gemma":0.00002970622,"domain_scores_codex":[0.9993615,0.000007317734,0.00009348592,0.0002017327,0.0001632554,0.0001727637],"domain_scores_gemma":[0.9994607,0.00005677021,0.00002868898,0.0003563702,0.00003227012,0.00006521291],"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":[0.00004149372,0.0001534018,0.006468493,0.00001563128,0.00002434354,0.0001161258,0.0005362001,0.0001808523,0.00337257,0.1541485,0.008042,0.8269004],"study_design_scores_gemma":[0.002538938,0.001016205,0.06625515,0.0003292405,0.00001910483,0.0002870262,0.0003010147,0.3910428,0.1325882,0.0138255,0.3901069,0.00168988],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01039603,0.000039623,0.9679377,0.0001319316,0.00009344242,0.00004287683,4.892993e-7,0.0001717106,0.02118616],"genre_scores_gemma":[0.2628989,0.000006409989,0.735483,0.0002982936,0.00006750739,0.000001318974,0.000002181819,0.000004578778,0.001237841],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8252106,"threshold_uncertainty_score":0.1519098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01179680494787877,"score_gpt":0.2452487059259094,"score_spread":0.2334519009780306,"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."}}