{"id":"W2111675255","doi":"10.1109/iccit.2009.5407171","title":"On the fast computation of decimal logarithm","year":2009,"lang":"en","type":"article","venue":"","topic":"Numerical Methods and Algorithms","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Decimal; Logarithm; Computer science; Computation; Arithmetic; Double-precision floating-point format; Floating point; Field-programmable gate array; Binary number; Algorithm; Mathematics; Computer hardware","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":[0.0008631924,0.001018715,0.0008332561,0.001828327,0.0006532706,0.001893506,0.001013315,0.0004582528,0.005422138],"category_scores_gemma":[0.004465072,0.0003440518,0.000511112,0.001723629,0.001141326,0.002596231,0.001515643,0.001230912,0.004009351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000568742,"about_ca_system_score_gemma":0.0008797022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007597687,"about_ca_topic_score_gemma":0.0007116232,"domain_scores_codex":[0.9988438,0.0001957643,0.00007970412,0.0001485839,0.0006394322,0.00009279363],"domain_scores_gemma":[0.9990461,0.0004300873,0.00006762391,0.0001494658,0.0002750752,0.00003149153],"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":[0.000449072,0.0000583667,0.0007850477,0.0004728857,0.00006361382,0.0004692596,0.0003525811,0.05060357,0.029783,0.1916694,0.01370081,0.7115924],"study_design_scores_gemma":[0.0001723679,0.0003529723,0.0008899644,0.0003329326,0.00005988561,0.001540393,0.0001454845,0.5661072,0.0766013,0.200302,0.1533444,0.0001512136],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007731036,0.002098456,0.9784031,0.0001906536,0.0003604814,0.00005046955,0.00006110794,0.001589603,0.009515056],"genre_scores_gemma":[0.1420312,0.003552507,0.8400726,0.0002986185,0.0004197005,0.0001685835,0.0004044636,0.0005598424,0.01249255],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005422138,"threshold_uncertainty_score":0.01813889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02206580754195244,"score_gpt":0.2926224837445959,"score_spread":0.2705566762026435,"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."}}