{"id":"W2101221074","doi":"10.1109/arith.1991.145548","title":"Specifications for a variable-precision arithmetic coprocessor","year":2002,"lang":"en","type":"article","venue":"","topic":"Numerical Methods and Algorithms","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Coprocessor; Computer science; Programmer; Arithmetic; Variable (mathematics); Decimal; Programming language; Arbitrary-precision arithmetic; Set (abstract data type); Software; Embedded system; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.0002277685,0.0000788786,0.0001145693,0.00005378867,0.000122314,0.0001346446,0.0005651962,0.00003374857,0.0002627882],"category_scores_gemma":[0.0002060346,0.00006065429,0.00004490603,0.0005278097,0.00001870416,0.0002166183,0.00007241358,0.000053278,0.000133003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001342469,"about_ca_system_score_gemma":0.000008841358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000397541,"about_ca_topic_score_gemma":1.527026e-7,"domain_scores_codex":[0.9991574,0.00002659327,0.0001690791,0.0003052804,0.0001431821,0.0001984217],"domain_scores_gemma":[0.9989069,0.0004656367,0.00004112001,0.0003946866,0.0001025559,0.00008909928],"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":[9.09489e-7,0.0001144427,0.000005993322,0.000006457839,0.000004665675,5.593433e-7,0.00005243192,0.00001590743,0.0005884807,0.3664554,0.006878426,0.6258763],"study_design_scores_gemma":[0.0002518697,0.00009079155,0.00008015971,0.000007200842,0.000003949674,0.000007211724,0.000007987554,0.6723069,0.001117374,0.1571821,0.1687988,0.0001456958],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00001318514,0.0001150111,0.9819368,0.002477293,0.0002460185,0.0001843748,0.000002664054,0.0001418006,0.01488286],"genre_scores_gemma":[0.001852748,0.00001839949,0.9916735,0.0004167683,0.0000861384,0.00004826538,5.704045e-7,0.000005868595,0.005897725],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.672291,"threshold_uncertainty_score":0.2877346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1095624609350344,"score_gpt":0.2956864882773909,"score_spread":0.1861240273423565,"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."}}