{"id":"W1964812021","doi":"10.1103/physrevlett.92.080601","title":"Noise Shaping by Interval Correlations Increases Information Transfer","year":2004,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"stochastic dynamics and bifurcation","field":"Physics and Astronomy","cited_by":125,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Interval (graph theory); Noise (video); Statistical physics; Information transfer; Physics; Spectral density; SIGNAL (programming language); Point process; Spike (software development); Information transmission; Transmission (telecommunications); Transfer (computing); Point (geometry); Power (physics); Computer science; Mathematics; Statistics; Telecommunications; Quantum mechanics; Artificial intelligence; Combinatorics","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":[0.000593006,0.0003841646,0.0004507174,0.0004474124,0.000227836,0.0008886314,0.0004496199,0.0007522237,0.002989437],"category_scores_gemma":[0.007951949,0.0002537673,0.0003385178,0.0004001704,0.0005837437,0.001301071,0.00095025,0.0005954746,0.0004642239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004781566,"about_ca_system_score_gemma":0.0003776284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001628392,"about_ca_topic_score_gemma":0.0001299524,"domain_scores_codex":[0.9996274,0.0000757778,0.00002302168,0.00007387262,0.0001228797,0.00007707227],"domain_scores_gemma":[0.9941976,0.003887973,0.0007860741,0.0005782024,0.0002682619,0.0002818509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0009803049,0.0004672393,0.006110118,0.0003267027,0.0001097018,0.001169805,0.0002944249,0.2992694,0.526893,0.09035777,0.001058508,0.07296305],"study_design_scores_gemma":[0.00009314054,0.0005946723,0.009956152,0.00004708354,0.0001153369,0.0008935845,0.00008456154,0.8110364,0.1149089,0.0605936,0.001610525,0.00006605403],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9167601,0.000388483,0.07270053,0.0002149732,0.00005202927,0.00001881781,0.00006237258,0.0005577283,0.009244988],"genre_scores_gemma":[0.9961177,0.0001254846,0.003200153,0.00004007497,0.00001723389,0.000007877417,0.0000233495,0.00003694366,0.0004311192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002989437,"threshold_uncertainty_score":0.01000071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01041990590456708,"score_gpt":0.2560055585229469,"score_spread":0.2455856526183798,"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."}}