{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006148721,0.0004131935,0.0003288176,0.0004648035,0.0004269526,0.0005398148,0.0006143773,0.0002078491,0.000364322],"category_scores_gemma":[0.000008379726,0.0003360542,0.0002295273,0.000126051,0.0005119847,0.00004035706,0.0001086168,0.0006890411,0.002063107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008510659,"about_ca_system_score_gemma":0.00006408824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002286052,"about_ca_topic_score_gemma":0.0004364187,"domain_scores_codex":[0.9979667,0.00001689922,0.0004272196,0.0005633241,0.0005987902,0.0004270616],"domain_scores_gemma":[0.9985328,0.0001230677,0.00010129,0.001019141,0.00008403869,0.0001396536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008942395,0.00001205056,0.000002041827,0.000199832,0.0005545684,0.0001549817,0.003868218,0.0297569,0.00002309075,0.1655621,0.6911937,0.1086635],"study_design_scores_gemma":[0.000156881,0.000005577188,0.000001975028,0.0001732771,0.00006367422,0.000004780184,0.00003038453,0.06881268,0.00006266249,0.006261524,0.9239358,0.000490778],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000002244755,0.0002702711,0.008530653,0.0002046975,0.008605772,0.0003371244,0.00009773429,0.001284065,0.9806674],"genre_scores_gemma":[0.0001017501,0.000004811491,0.006273478,0.000131952,0.000393611,0.00002929524,0.0001132565,0.0001971015,0.9927548],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2327421,"threshold_uncertainty_score":0.9999092,"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."}}