{"id":"W2627020852","doi":"10.1145/3061639.3062258","title":"Hardware ODE Solvers using Stochastic Circuits","year":2017,"lang":"en","type":"article","venue":"","topic":"Low-power high-performance VLSI design","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ode; Stochastic computing; Integrator; Ordinary differential equation; Solver; Computer science; Stochastic differential equation; Euler method; Applied mathematics; Estimator; Stochastic process; Mathematical optimization; Algorithm; Mathematics; Euler's formula; Differential equation; Mathematical analysis; Statistics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00008551721,0.0001683219,0.0001598065,0.00007625093,0.0002896024,0.0001648558,0.000380592,0.00007836993,0.0002429276],"category_scores_gemma":[0.00003011813,0.0001641315,0.00004889554,0.00004263836,0.00004799241,0.0005519182,0.00005008825,0.0001366702,0.0003427017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001032697,"about_ca_system_score_gemma":0.00002526562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004041135,"about_ca_topic_score_gemma":0.00001506926,"domain_scores_codex":[0.9991635,0.000004476926,0.0001439056,0.0001636385,0.0001685804,0.0003558699],"domain_scores_gemma":[0.9992023,0.00001661173,0.00003351872,0.0006185847,0.00003063252,0.00009840381],"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":[0.000007943007,0.00003890796,0.003550426,0.0002445784,0.0002394312,0.00007174792,0.001190565,0.8864492,0.07644977,0.001119799,0.01185278,0.01878487],"study_design_scores_gemma":[0.0007757665,0.00002740398,0.005181557,0.0001091532,0.00004940337,0.00002411084,0.00006961288,0.9764972,0.01478262,0.0001206011,0.001711127,0.0006514484],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5365196,0.0001074849,0.4287208,0.00003362245,0.002023245,0.0002413432,0.000008905258,0.0008333548,0.03151159],"genre_scores_gemma":[0.9981455,0.000006091427,0.001079457,0.00002752471,0.0001528484,0.000005889335,0.000001967124,0.00005050924,0.0005301853],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4616259,"threshold_uncertainty_score":0.6693089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03296758006425823,"score_gpt":0.2436856667861069,"score_spread":0.2107180867218487,"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."}}