{"id":"W2088124680","doi":"10.1109/tit.2014.2332336","title":"Private Broadcasting Over Independent Parallel Channels","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Information Theory","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Fading; Broadcasting (networking); Gaussian; Coding (social sciences); Computer science; Channel code; Block (permutation group theory); Encoding (memory); Theoretical computer science; Topology (electrical circuits); Mathematics; Algorithm; Computer network; Decoding methods; Combinatorics; Statistics","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":[0.000478808,0.0001595099,0.0001328229,0.0002744953,0.0001544449,0.0000891207,0.0002726607,0.0001213034,0.0001939996],"category_scores_gemma":[0.0000108593,0.0001711048,0.00007160832,0.0001756529,0.00003801036,0.001107015,0.000002377125,0.0003566055,0.0003001066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008398535,"about_ca_system_score_gemma":0.000007599429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003958889,"about_ca_topic_score_gemma":0.000001629169,"domain_scores_codex":[0.9990615,0.00008057123,0.0003819062,0.00007181758,0.0002156897,0.0001884759],"domain_scores_gemma":[0.9992123,0.0001496194,0.00007069902,0.000451821,0.00005002036,0.00006556114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005158765,0.00005647399,0.000005183002,0.0001224796,0.0000750219,2.044378e-7,0.003866948,0.6861279,0.0007589216,0.06365357,0.0004598764,0.2448218],"study_design_scores_gemma":[0.001605878,0.0001462193,0.0003087982,0.0002314457,0.00004523015,0.00002386568,0.0004239162,0.7901312,0.1120212,0.02590214,0.06811114,0.001049075],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01808792,0.00001145329,0.9704475,0.00003442521,0.0003883454,0.0002085535,0.00001126033,0.001277113,0.009533369],"genre_scores_gemma":[0.9964988,0.00006454485,0.00294133,0.0002680113,0.00002628891,0.0001142595,0.00001025695,0.00002252472,0.00005402511],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9784108,"threshold_uncertainty_score":0.6977451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00914837261323207,"score_gpt":0.2203186316881497,"score_spread":0.2111702590749176,"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."}}