{"id":"W2151770284","doi":"10.1109/12.954505","title":"Stochastic neural computation. I. Computational elements","year":2001,"lang":"en","type":"article","venue":"IEEE Transactions on Computers","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":560,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; CMC Microsystems","keywords":"Exponentiation; Computer science; Stochastic computing; Artificial neural network; Multiplication (music); Sigmoid function; Computation; Stochastic neural network; Noise (video); Binary number; Algorithm; Artificial intelligence; Time delay neural network; Arithmetic; Mathematics","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":[0.00008924396,0.0002229225,0.000174144,0.0001941521,0.0004411669,0.0002039241,0.0006139827,0.00004989659,0.00002798561],"category_scores_gemma":[8.361026e-7,0.0002294924,0.0001292506,0.0007250247,0.00005820952,0.0003914141,0.000006717341,0.0002403057,0.0002199337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000660336,"about_ca_system_score_gemma":0.00003755612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000100973,"about_ca_topic_score_gemma":0.000005384175,"domain_scores_codex":[0.9983364,0.00005922876,0.0003664922,0.0005037381,0.000382144,0.0003519591],"domain_scores_gemma":[0.9990382,0.0002497827,0.0001026235,0.0003353638,0.00009874546,0.0001752821],"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":[0.000006829933,0.0001482583,0.000005025927,0.000001651487,0.00002212613,0.000008158617,0.00004643566,0.8509004,0.00002486203,0.0008517024,0.001256338,0.1467282],"study_design_scores_gemma":[0.0005360257,0.0001089782,0.0001441987,0.00001652176,0.000009543648,0.00007677597,0.000006066009,0.9972323,0.00004220995,0.001202581,0.00039177,0.0002330291],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01050669,0.00001022223,0.9856167,0.001797205,0.001195458,0.0003000839,0.00001043422,0.0004255249,0.0001377115],"genre_scores_gemma":[0.9171664,0.000004867813,0.08127531,0.00127511,0.00007648014,0.00004815956,0.000009751653,0.00001646612,0.0001274438],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9066597,"threshold_uncertainty_score":0.9358428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02110761093511192,"score_gpt":0.2626727902763933,"score_spread":0.2415651793412814,"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."}}