{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001672902,0.001022818,0.001024899,0.002318545,0.001450138,0.00200428,0.001454604,0.001451939,0.007226469],"category_scores_gemma":[0.01152723,0.0005077116,0.0007222904,0.002995277,0.001999228,0.004091612,0.002969582,0.001987282,0.00346124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001135472,"about_ca_system_score_gemma":0.001799833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001456787,"about_ca_topic_score_gemma":0.001275985,"domain_scores_codex":[0.9971973,0.0006675887,0.0002238483,0.0003731333,0.001195933,0.0003422679],"domain_scores_gemma":[0.9928803,0.002497998,0.0005666486,0.002787245,0.00109115,0.0001767231],"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":[0.0009223059,0.0001242763,0.001036077,0.0004105107,0.00006692162,0.0003983533,0.0004038338,0.05821947,0.0253179,0.4314459,0.006695785,0.4749588],"study_design_scores_gemma":[0.0001495841,0.0004684769,0.0003523786,0.0003135841,0.0001004136,0.001115036,0.0001640594,0.4053485,0.1163328,0.4145375,0.06094135,0.0001764182],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03447503,0.001435933,0.9449077,0.0003919791,0.0002754695,0.0002176624,0.0002722295,0.002743279,0.01528067],"genre_scores_gemma":[0.2736255,0.001187599,0.7023813,0.0005915063,0.0002055525,0.0004752433,0.0007410895,0.0007965601,0.01999562],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007226469,"threshold_uncertainty_score":0.02417493,"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."}}