{"id":"W2903688003","doi":"10.1145/3242898","title":"You Cannot Improve What You Do not Measure","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Reconfigurable Technology and Systems","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Application-specific integrated circuit; Field-programmable gate array; Computer science; Reconfigurability; Convolutional neural network; Digital signal processing; Embedded system; Computer architecture; Ranging; Block (permutation group theory); FPGA prototype; Computer hardware; Computer engineering; Artificial intelligence","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":[0.02420323,0.002101677,0.001884893,0.0029515,0.004021974,0.01246639,0.002127738,0.00583253,0.03365992],"category_scores_gemma":[0.1552261,0.0006395323,0.001496026,0.002382897,0.01168472,0.02133299,0.007166842,0.01211607,0.02646559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003903883,"about_ca_system_score_gemma":0.004912429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00404731,"about_ca_topic_score_gemma":0.003388165,"domain_scores_codex":[0.9680734,0.01227176,0.002095588,0.004859846,0.0110212,0.001678091],"domain_scores_gemma":[0.9145162,0.03313825,0.008397066,0.01104631,0.0255081,0.007394113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004600321,0.00025707,0.01585949,0.001582811,0.0007723009,0.0003526455,0.001773604,0.0007535901,0.000845023,0.07707767,0.5457901,0.3544755],"study_design_scores_gemma":[0.000123092,0.0003805387,0.005440241,0.003793576,0.0003699141,0.001083079,0.003290208,0.001071034,0.001985578,0.1571838,0.8250068,0.0002719905],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01271447,0.03812467,0.03235956,0.7503337,0.05587641,0.000239667,0.002794753,0.002201534,0.1053552],"genre_scores_gemma":[0.2796386,0.03067248,0.06093997,0.5178532,0.02202669,0.0009515516,0.002257129,0.003310516,0.08234984],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03365992,"threshold_uncertainty_score":0.1280004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02077787623496065,"score_gpt":0.2497905922941679,"score_spread":0.2290127160592073,"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."}}