{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000648678,0.001689979,0.0006639561,0.0008114986,0.0006436139,0.00216465,0.00325697,0.001315191,0.06051413],"category_scores_gemma":[0.002703155,0.0008423887,0.0007969521,0.0009877896,0.0006300297,0.002843712,0.002146633,0.001960164,0.03182131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001120245,"about_ca_system_score_gemma":0.001293216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002379691,"about_ca_topic_score_gemma":0.003669546,"domain_scores_codex":[0.9992419,0.00008312828,0.00004325399,0.0002500196,0.0002549549,0.0001267554],"domain_scores_gemma":[0.9993425,0.0001862765,0.00006112762,0.0001828084,0.0001669023,0.00006039835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00182148,0.0002461172,0.003087829,0.001235691,0.0001196642,0.000458026,0.0002221001,0.009660169,0.02219297,0.03023866,0.6183187,0.3123987],"study_design_scores_gemma":[0.0004178791,0.0005697014,0.002275267,0.0002020354,0.0001060359,0.0008804249,0.00008855815,0.1021494,0.06509928,0.03205478,0.7959847,0.0001718828],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"software","genre_gemma":"empirical","genre_scores_codex":[0.03645357,0.007278694,0.2405946,0.002100966,0.002538645,0.000525227,0.01989052,0.5294293,0.1611885],"genre_scores_gemma":[0.3401279,0.004548063,0.2887224,0.005762708,0.0005140202,0.001444482,0.09039089,0.07655876,0.1919308],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06051413,"threshold_uncertainty_score":0,"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."}}