{"id":"W2891906689","doi":"10.1109/arith.2018.8464818","title":"A Correctly Rounded Mixed-Radix Fused-Multiply-Add","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Numerical Methods and Algorithms","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"Rounding; Computer science; Arithmetic; Floating point; Radix (gastropod); Double-precision floating-point format; Parallel computing; Point (geometry); Algorithm; Mathematics; Operating system","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"],"consensus_categories":[],"category_scores_codex":[0.0007544843,0.0005047945,0.0006555719,0.0001647856,0.0001596612,0.0007421801,0.003040772,0.0003818253,0.0002468258],"category_scores_gemma":[0.000212191,0.0004089928,0.000328429,0.0004148192,0.0001425443,0.0002402315,0.003811157,0.0008006585,0.0006627968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001214814,"about_ca_system_score_gemma":0.0002353887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000354248,"about_ca_topic_score_gemma":0.00002676446,"domain_scores_codex":[0.9965114,0.0003523326,0.0005211508,0.001410387,0.0005617295,0.0006429903],"domain_scores_gemma":[0.9967875,0.0003606522,0.0002749631,0.002005232,0.0002318676,0.000339714],"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":[0.00001360257,0.0002911037,0.0001445649,0.00007387027,0.0001311421,0.00006505026,0.0004437463,0.00006090234,0.0002820424,0.01818116,0.038439,0.9418738],"study_design_scores_gemma":[0.000935593,0.0004730112,0.001647945,0.0002367546,0.00003505729,0.00006902937,0.00004963157,0.6446732,0.00658266,0.2082468,0.1349136,0.00213666],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001236881,0.0001864652,0.9717828,0.0007988594,0.009713916,0.0003825944,0.00001017422,0.0008158908,0.01507242],"genre_scores_gemma":[0.0105501,0.00004566356,0.9837688,0.0008690477,0.0009609517,0.00007239509,0.000008453164,0.00003741985,0.003687236],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9397371,"threshold_uncertainty_score":0.9998362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03401910411975496,"score_gpt":0.3016679507167429,"score_spread":0.267648846596988,"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."}}