{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002919123,0.0001331812,0.000214149,0.0003584174,0.0002775039,0.00009536556,0.0007349128,0.0002694483,0.00004193459],"category_scores_gemma":[0.00004825065,0.0001109968,0.00004142434,0.0006458443,0.0001239563,0.0001858871,0.000007112991,0.0006128765,0.00007694745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007693367,"about_ca_system_score_gemma":0.00002100121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003146189,"about_ca_topic_score_gemma":0.00000574864,"domain_scores_codex":[0.9990273,0.00004497229,0.0002035207,0.0003753753,0.00009259353,0.0002562904],"domain_scores_gemma":[0.9987208,0.0001709019,0.00005540531,0.0009224943,0.00004724673,0.00008314749],"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":[0.000002774015,0.00006016564,0.0000680002,0.00001329693,0.00002574794,0.000009878489,0.00003286113,0.00001808038,0.01273841,0.1058854,0.00004953276,0.8810958],"study_design_scores_gemma":[0.002434426,0.001591967,0.0008775898,0.0002103202,0.00007093736,0.002881642,0.0008550925,0.07550412,0.2121052,0.394401,0.3070124,0.002055284],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01273016,0.0002091125,0.9769965,0.004318716,0.002065691,0.0001856777,0.000003927195,0.000619805,0.002870427],"genre_scores_gemma":[0.8868102,0.00006492616,0.1111437,0.0001213651,0.0000353895,0.00009721992,2.846319e-7,0.00001046124,0.001716381],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8790405,"threshold_uncertainty_score":0.452632,"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."}}