{"id":"W2062074603","doi":"10.1109/mcse.2006.45","title":"Noise and Signal Interaction","year":2006,"lang":"en","type":"article","venue":"Computing in Science & Engineering","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Randomness; Noise (video); Computer science; Complex system; SIGNAL (programming language); Artificial intelligence; Data science; Mathematics","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":[0.001532,0.0007981692,0.00111108,0.001341306,0.001363183,0.005028982,0.001068232,0.002654526,0.0107177],"category_scores_gemma":[0.008043579,0.0004627833,0.0006709577,0.0007563813,0.005108334,0.004711562,0.003408787,0.002272345,0.001769942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001074734,"about_ca_system_score_gemma":0.0007015851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001198095,"about_ca_topic_score_gemma":0.0006660498,"domain_scores_codex":[0.9977269,0.0008070319,0.00009213411,0.0004861759,0.0006168876,0.0002708471],"domain_scores_gemma":[0.9954861,0.003142379,0.0003721827,0.0003063196,0.0004463918,0.000246548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002559135,0.0000553581,0.001637347,0.000310988,0.0001178984,0.0006524462,0.0006786363,0.01088369,0.009357923,0.9311339,0.005348459,0.03956733],"study_design_scores_gemma":[0.0000404259,0.0001436488,0.001958603,0.0001214966,0.0000631862,0.0006214096,0.0003352156,0.01719736,0.002406652,0.9497884,0.02725387,0.00006977486],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1097374,0.02850737,0.5424189,0.0270467,0.003448639,0.0001694958,0.0005792364,0.0008045423,0.2872878],"genre_scores_gemma":[0.9111912,0.0101789,0.03881267,0.004870192,0.002256311,0.0001961766,0.0003190491,0.0002277123,0.03194783],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0107177,"threshold_uncertainty_score":0.03585422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007273301517138803,"score_gpt":0.2283571421992958,"score_spread":0.221083840682157,"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."}}