{"id":"W2007777576","doi":"10.1109/allerton.2012.6483476","title":"Causal coding of multiple jointly Gaussian sources","year":2012,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Gaussian; Coding (social sciences); Algorithm; Computer science; Mathematics; Discrete mathematics; Statistics; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.0001300405,0.00006936849,0.0001076145,0.0000643728,0.00002254357,0.000007943839,0.0001569387,0.00004825829,0.0001254072],"category_scores_gemma":[0.00002202646,0.00006699174,0.00002956306,0.0000797927,0.00002808799,0.0001575084,0.00005169916,0.00009061418,0.00002219292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001926504,"about_ca_system_score_gemma":0.000002620789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005189462,"about_ca_topic_score_gemma":0.00002437854,"domain_scores_codex":[0.9995515,0.00001671802,0.0001621062,0.0000384456,0.00007930277,0.0001519607],"domain_scores_gemma":[0.9995513,0.00006562874,0.00002295357,0.000290965,0.00001754949,0.00005159471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001225337,0.000317467,0.2653652,0.0005596966,0.0001939399,0.000001088246,0.01527064,0.001056995,0.5270675,0.152295,0.01839512,0.01946515],"study_design_scores_gemma":[0.0001830065,0.00001443378,0.01917478,0.00005679555,0.000009362643,0.00000516016,0.0004819805,0.01866824,0.938934,0.000163865,0.0220514,0.0002569436],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.874902,0.0009322898,0.05150491,0.0001027128,0.0001321127,0.0001610189,0.000006782062,0.00167308,0.07058509],"genre_scores_gemma":[0.9869457,0.00007644941,0.01284499,0.00001549705,0.00003246647,0.000009066341,0.000003474206,0.00001812685,0.00005423462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4118665,"threshold_uncertainty_score":0.2731844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02338374262983386,"score_gpt":0.24702939211342,"score_spread":0.2236456494835861,"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."}}