{"id":"W3134585653","doi":"10.1109/icjece.2020.2978403","title":"Investigating the Impact of Imprecise Computation in Memristive Memory Arrays on the Classification Performance of Deep Fully Connected Neural Networks","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Electrical and Computer Engineering","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Von Neumann architecture; Computation; Artificial neural network; Dram; Computer hardware; Computer engineering; Transfer (computing); Parallel computing; Computer architecture; Artificial intelligence; Algorithm","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001627182,0.0001119626,0.0002020055,0.0001207875,0.00005275395,0.00001924464,0.0001111822,0.00004011912,0.000001928871],"category_scores_gemma":[0.00009761126,0.00007577727,0.00006333254,0.0004752328,0.00003150413,0.00007914932,0.000008371695,0.000433775,5.325116e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008211179,"about_ca_system_score_gemma":0.00006787902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002599987,"about_ca_topic_score_gemma":0.00003436054,"domain_scores_codex":[0.9992585,0.00004613733,0.0003486217,0.00007417543,0.00007808811,0.0001945164],"domain_scores_gemma":[0.999074,0.0005168254,0.0001103787,0.00006903104,0.0001121645,0.0001175516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005491012,0.00000338933,0.00078738,0.00001595414,0.00002356533,0.000008671374,0.0002117482,0.9748271,0.004158507,0.0000663762,0.00001029881,0.01988157],"study_design_scores_gemma":[0.0001554657,0.000147863,0.05408742,0.00008992159,0.000007270204,0.00007252811,0.00002108201,0.942193,0.003125918,0.00002825733,0.000001150015,0.00007010158],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9055495,0.000566863,0.09364522,0.00003847348,0.0001211994,0.00005714902,7.475242e-7,0.000007042943,0.00001383418],"genre_scores_gemma":[0.9992976,0.00001996713,0.0005406844,0.00002106247,0.0001075282,9.683745e-7,0.000001297874,0.00001048251,3.640745e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09374817,"threshold_uncertainty_score":0.3090107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01261186895104593,"score_gpt":0.2046001011601509,"score_spread":0.1919882322091049,"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."}}