{"id":"W2137367101","doi":"10.1109/pacrim.2001.953581","title":"Modular architecture for statistical signal parameter measurement using multi-bit random-data representation","year":2002,"lang":"en","type":"article","venue":"","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Modular design; Representation (politics); Binary number; SIGNAL (programming language); Binary data; Algorithm; Instrumentation (computer programming); Theoretical computer science; Mathematics; Programming language; Arithmetic","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":[0.00124781,0.0007745871,0.0006787395,0.0008828422,0.0003408434,0.001119251,0.001566074,0.0008907507,0.002429058],"category_scores_gemma":[0.002433534,0.0003105812,0.0005256693,0.0006924942,0.0007474892,0.002024708,0.0008752292,0.001179958,0.0009791562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005708112,"about_ca_system_score_gemma":0.0004778309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002810548,"about_ca_topic_score_gemma":0.0004802778,"domain_scores_codex":[0.9990388,0.0002671996,0.00007918542,0.000199886,0.0003474239,0.00006750312],"domain_scores_gemma":[0.9988696,0.0003373619,0.0001370558,0.0004037258,0.0002150063,0.00003722215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006864827,0.0002469375,0.001313579,0.0005241953,0.0001563547,0.0003547371,0.0003083827,0.07677408,0.2504292,0.2207377,0.002506789,0.4459616],"study_design_scores_gemma":[0.00007938441,0.0005579048,0.0009923652,0.00009117356,0.0001277375,0.0006105284,0.00003450754,0.7385976,0.1828009,0.06310079,0.01289171,0.0001154048],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007352864,0.0000866128,0.9905851,0.0000875782,0.00004116177,0.00004821652,0.00003466044,0.0008224433,0.0009412796],"genre_scores_gemma":[0.3103222,0.000165099,0.6874249,0.0002083491,0.00008304873,0.0002671528,0.0001404362,0.00009427379,0.001294517],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002429058,"threshold_uncertainty_score":0.00812602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2580749106034233,"score_gpt":0.3406040162200499,"score_spread":0.08252910561662657,"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."}}