{"id":"W2801473125","doi":"10.1007/978-981-10-8001-2_5","title":"Differential Entropy and Gaussian Channels","year":2018,"lang":"en","type":"book-chapter","venue":"Springer undergraduate texts in mathematics and technology","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Alphabet; Gaussian; Differential entropy; Discrete time and continuous time; Entropy (arrow of time); Waveform; Focus (optics); Algorithm; Computer science; Channel (broadcasting); Mathematics; Statistical physics; Theoretical computer science; Transfer entropy; Principle of maximum entropy; Artificial intelligence; Statistics; Telecommunications; Physics; Philosophy; Optics","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":[0.0004642456,0.0005806949,0.0006779966,0.001223357,0.00056995,0.001525188,0.0004112506,0.0009795537,0.005779526],"category_scores_gemma":[0.001465745,0.0002247356,0.0003823294,0.001196288,0.00206332,0.002512909,0.001176677,0.001515307,0.0009146481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009286432,"about_ca_system_score_gemma":0.0004286618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00041805,"about_ca_topic_score_gemma":0.0002483847,"domain_scores_codex":[0.999734,0.00006866662,0.00001084896,0.00004454343,0.0001086617,0.00003325343],"domain_scores_gemma":[0.9996032,0.0002130025,0.00004219862,0.00004969922,0.00005603175,0.00003588116],"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":[0.000005165382,0.00000469052,0.00003990072,0.0000211977,0.000004170498,0.00001541275,0.00002668295,0.001758006,0.0001890702,0.990043,0.002350316,0.005542275],"study_design_scores_gemma":[0.00000145591,0.000003606197,0.00008873022,0.00000692585,0.000002174748,0.00003303858,0.000008400692,0.004021769,0.00009391059,0.991873,0.003862172,0.000004987],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.111344,0.04591856,0.2869475,0.01127981,0.003811755,0.00004586407,0.0007284658,0.0003654087,0.5395586],"genre_scores_gemma":[0.8524348,0.01566613,0.01337053,0.001143119,0.004924307,0.00007153146,0.0003449681,0.0001574944,0.111887],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.005779526,"threshold_uncertainty_score":0.0193345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01358454118737767,"score_gpt":0.2309025376112108,"score_spread":0.2173179964238331,"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."}}