{"id":"W2045006214","doi":"10.1109/tit.2012.2210190","title":"Outage Probability Under Channel Distribution Uncertainty","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Information Theory","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Probability distribution; Mathematics; Fading; Channel (broadcasting); Entropy (arrow of time); Channel capacity; Statistics; Probability density function; Outage probability; Computer science; Telecommunications; Physics; Coding (social sciences); Decoding methods","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":[0.001723146,0.000709405,0.00113516,0.0008287809,0.0004936417,0.001410029,0.0006805611,0.0007512036,0.001306607],"category_scores_gemma":[0.01026287,0.0003557832,0.0004619434,0.001294581,0.00172237,0.002209397,0.001230346,0.001065024,0.0002083657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001550975,"about_ca_system_score_gemma":0.0008732616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002661304,"about_ca_topic_score_gemma":0.001214515,"domain_scores_codex":[0.9980351,0.0005197484,0.00007511911,0.0003138449,0.0006576949,0.0003985226],"domain_scores_gemma":[0.9907476,0.006694152,0.0009505738,0.0006263839,0.0008223229,0.0001590149],"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":[0.0001010112,0.00001301853,0.001645626,0.0001018762,0.00003181773,0.0003478162,0.00009624071,0.9226052,0.002187781,0.06465583,0.000789671,0.0074242],"study_design_scores_gemma":[0.000004280642,0.00002706605,0.001220317,0.00001652302,0.0000135208,0.0001361181,0.00004001221,0.966678,0.0007087507,0.03071251,0.0004229787,0.0000200538],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2087179,0.002347095,0.771473,0.000822207,0.00009987782,0.0000422014,0.0006997846,0.0003815549,0.01541644],"genre_scores_gemma":[0.9914427,0.001066744,0.005582343,0.00005982344,0.0001116709,0.00003882312,0.0001420703,0.00003307099,0.001522728],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002661304,"threshold_uncertainty_score":0.01125312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01061378769462451,"score_gpt":0.2128954615525703,"score_spread":0.2022816738579458,"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."}}