{"id":"W4385309960","doi":"10.1142/9789811234378_0048","title":"SHIFT REGISTER CODERS — THE GOLOMB ALGORITHM","year":2023,"lang":"en","type":"book-chapter","venue":"WORLD SCIENTIFIC eBooks","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Golomb coding; Register (sociolinguistics); Computer science; Shift register; Algorithm; Arithmetic; Speech recognition; Mathematics; Telecommunications; Artificial intelligence; Linguistics; Philosophy","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":[0.0002741244,0.000780192,0.0005742016,0.0009146084,0.0005368008,0.001653075,0.0008265845,0.0009416663,0.01475697],"category_scores_gemma":[0.001085438,0.000454619,0.0002838893,0.0018494,0.0007037279,0.00151352,0.000690815,0.001362477,0.008276254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006321212,"about_ca_system_score_gemma":0.0008399324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001357023,"about_ca_topic_score_gemma":0.00135821,"domain_scores_codex":[0.999638,0.00005406313,0.00001290101,0.00005225366,0.0002062091,0.00003668148],"domain_scores_gemma":[0.9997659,0.00007549248,0.00001673924,0.00005007596,0.00008027461,0.0000115195],"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":[0.000202351,0.00004026524,0.0001121824,0.0001853277,0.00002873478,0.00005953474,0.00008626392,0.01832153,0.01884881,0.1652088,0.03127697,0.7656291],"study_design_scores_gemma":[0.00008558459,0.0003000545,0.0005968865,0.0002804543,0.00004932152,0.0005431676,0.00008403006,0.1809489,0.05450677,0.1981147,0.5644015,0.00008868634],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01307177,0.018417,0.8186694,0.001396573,0.001291375,0.000150912,0.0002755199,0.004091013,0.1426363],"genre_scores_gemma":[0.1977782,0.01428161,0.5530326,0.001174016,0.001145814,0.0002439817,0.0006423072,0.001789458,0.229912],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01475697,"threshold_uncertainty_score":0.04936701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02720291019446246,"score_gpt":0.2201143237289191,"score_spread":0.1929114135344566,"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."}}