{"id":"W2032195315","doi":"10.1145/1839480.1839486","title":"VFloat","year":2010,"lang":"en","type":"article","venue":"ACM Transactions on Reconfigurable Technology and Systems","topic":"Numerical Methods and Algorithms","field":"Computer Science","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"Division of Engineering Education and Centers","keywords":"Computer science; Floating point; Double-precision floating-point format; Variable (mathematics); Computer hardware; Point (geometry); Implementation; Range (aeronautics); Programming language","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":[0.0006651366,0.001647631,0.0006970187,0.00151782,0.0006949986,0.002474421,0.004273758,0.001027587,0.07944029],"category_scores_gemma":[0.002379728,0.0008516082,0.001327291,0.001327193,0.0005240673,0.002356376,0.001350748,0.001328333,0.03561187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001155834,"about_ca_system_score_gemma":0.001226124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00269078,"about_ca_topic_score_gemma":0.003378229,"domain_scores_codex":[0.9992282,0.00005978248,0.00007410753,0.0001357418,0.0003560413,0.0001460572],"domain_scores_gemma":[0.9991056,0.0002079009,0.0000878611,0.0002341591,0.0003248015,0.00003955435],"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":[0.00159426,0.0001708599,0.002217589,0.001415827,0.0001399973,0.0004785163,0.0002625523,0.02615369,0.02804959,0.04136128,0.2834782,0.6146777],"study_design_scores_gemma":[0.0003275915,0.0003646046,0.001417782,0.0002858244,0.00008846595,0.001016368,0.00007334253,0.1100095,0.1211298,0.02401659,0.7410037,0.0002664461],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007957839,0.0008748904,0.6971358,0.0001837023,0.0002554929,0.0002500431,0.007970869,0.2347594,0.05061198],"genre_scores_gemma":[0.184513,0.001757833,0.553584,0.001312189,0.0002303858,0.001513761,0.05691218,0.05771172,0.1424649],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07944029,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01659433051528137,"score_gpt":0.2598416499404852,"score_spread":0.2432473194252038,"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."}}