{"id":"W3100492750","doi":"","title":"Stochastic resonance in Gaussian quantum channels","year":2013,"lang":"en","type":"article","venue":"Civil War Book Review","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Lossy compression; Stochastic resonance; Decoding methods; Communication source; Noise (video); Channel (broadcasting); Gaussian noise; Computer science; Qubit; Gaussian; Interval (graph theory); Resonance (particle physics); Transmission (telecommunications); Statistical physics; Physics; Topology (electrical circuits); Quantum mechanics; Quantum; Algorithm; Mathematics; Telecommunications; Combinatorics; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003462301,0.0001661071,0.0003093083,0.0001433499,0.00006231062,0.00007239949,0.0007559949,0.0000441916,0.0005996659],"category_scores_gemma":[0.00005611389,0.0001375149,0.0001144344,0.0006897436,0.00004388936,0.001152204,0.0001180829,0.0001581817,0.001953249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002441443,"about_ca_system_score_gemma":0.00004684201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000153767,"about_ca_topic_score_gemma":0.000004485349,"domain_scores_codex":[0.9985965,0.00007338664,0.0004794884,0.0002576057,0.0002544236,0.0003385351],"domain_scores_gemma":[0.999007,0.00004000133,0.0001365323,0.0006211994,0.0000676281,0.0001276706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001554958,0.0001042064,0.0000491912,0.002216602,0.00001150435,0.00001168431,0.0009904741,0.00003180958,0.000009741218,0.2489212,0.5567455,0.1909066],"study_design_scores_gemma":[0.0003093181,0.00006491938,0.001193248,0.005961552,0.000006480306,0.00002631353,0.00001540132,0.03920469,0.00001242195,0.008377108,0.9443989,0.000429643],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001198749,0.8420886,0.1394652,0.007075011,0.0004482853,0.001173629,0.000001363704,0.0002152985,0.009412771],"genre_scores_gemma":[0.2030862,0.5898492,0.004962452,0.1961087,0.0003186493,0.002175817,0.00002582128,0.00009102644,0.00338205],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.3876534,"threshold_uncertainty_score":0.9988238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0136966190105903,"score_gpt":0.2417621362213723,"score_spread":0.228065517210782,"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."}}