{"id":"W2104453881","doi":"10.1109/isit.2012.6283566","title":"Multiple access channel with various degrees of asymmetric state information","year":2012,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Encoder; Computer science; Channel state information; Independent and identically distributed random variables; Channel (broadcasting); Characterization (materials science); Decoding methods; Process (computing); State (computer science); Channel capacity; Algorithm; Computer network; Telecommunications; Wireless; Mathematics; Random variable","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":[0.005195454,0.001690708,0.002165273,0.001155737,0.001384172,0.002780996,0.002121454,0.002047543,0.001965292],"category_scores_gemma":[0.0215525,0.0007080521,0.0007779651,0.002078743,0.003420194,0.004816109,0.003145318,0.002628347,0.0004752854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001898498,"about_ca_system_score_gemma":0.001470424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001723088,"about_ca_topic_score_gemma":0.001048375,"domain_scores_codex":[0.9933531,0.002860204,0.000313318,0.0008990596,0.001609126,0.0009651556],"domain_scores_gemma":[0.9730708,0.01812635,0.003478469,0.002752921,0.001951444,0.0006199718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005535348,0.00008387298,0.0009843914,0.0001686704,0.00007903687,0.001128707,0.0004068429,0.4232596,0.003621103,0.5596927,0.001064858,0.00895661],"study_design_scores_gemma":[0.0000606071,0.00007157741,0.0002026079,0.0000226037,0.00003660303,0.0001754984,0.00006157919,0.8653868,0.001626897,0.1314413,0.0008702145,0.0000437111],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1746517,0.0008910365,0.8035656,0.002336146,0.0001019428,0.0001361797,0.0005612534,0.0002439919,0.0175121],"genre_scores_gemma":[0.9623694,0.0005030125,0.03214434,0.0001957479,0.0001514438,0.000224746,0.0001192418,0.00002763779,0.004264437],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005195454,"threshold_uncertainty_score":0.02747649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01886585875500607,"score_gpt":0.2409359872814786,"score_spread":0.2220701285264725,"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."}}