{"id":"W2516141709","doi":"10.1145/3007787.3001138","title":"Cnvlutin","year":2016,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":639,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Toronto","funders":"","keywords":"Computer science; Multiplication (music); Operand; Computation; Overhead (engineering); Parallel computing; Efficient energy use; Fraction (chemistry); State (computer science); Algorithm; Arithmetic; Computer hardware; 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":[0.0001439035,0.0002895793,0.0002453185,0.0001673857,0.0001968039,0.00009535169,0.003748959,0.00007473055,0.00002611285],"category_scores_gemma":[0.00009804605,0.0001855301,0.0001316563,0.0006037579,0.0001273437,0.0003040867,0.00212576,0.0002659776,0.0003435062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005498826,"about_ca_system_score_gemma":0.00005789545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007039327,"about_ca_topic_score_gemma":0.0000224666,"domain_scores_codex":[0.9975824,0.0001396307,0.000328049,0.000881936,0.0003961992,0.0006717261],"domain_scores_gemma":[0.9957933,0.001128543,0.000110086,0.002625724,0.00007447973,0.0002678819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006067488,0.00003096638,0.000283936,0.000003512244,0.0000126328,0.00001403719,0.0001778011,0.0005448352,0.005428725,0.01891732,0.007051363,0.9675288],"study_design_scores_gemma":[0.001447851,0.0003629068,0.006358832,0.000100553,0.000009266447,0.0002674868,0.000002038807,0.007641048,0.007823505,0.4057811,0.5692179,0.0009875116],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004555518,0.00006105741,0.9603595,0.03287324,0.0003742674,0.0003487736,0.000003610277,0.0006966607,0.00072733],"genre_scores_gemma":[0.2080746,0.00003141189,0.786678,0.00379519,0.0009136295,0.00008163513,0.000002319141,0.0000326703,0.0003905721],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9665413,"threshold_uncertainty_score":0.7565699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01560700340416213,"score_gpt":0.2567286129807016,"score_spread":0.2411216095765395,"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."}}