{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003967505,0.0001616008,0.000120705,0.00009642589,0.0001483144,0.0000301623,0.00007593417,0.0001166149,0.0001060487],"category_scores_gemma":[0.00001013801,0.0001606299,0.00006688672,0.000220417,0.00003931124,0.002248812,6.161764e-7,0.0001870884,0.0003370944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003591221,"about_ca_system_score_gemma":0.0000123888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003474592,"about_ca_topic_score_gemma":0.00000225617,"domain_scores_codex":[0.9991184,0.00005540044,0.000352956,0.0000662161,0.0001365143,0.000270504],"domain_scores_gemma":[0.9994557,0.00007383187,0.00006000894,0.0002377467,0.00007520673,0.00009748198],"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":[0.00002512941,0.00003134905,0.000001512561,0.00005990421,0.00002078926,1.937832e-8,0.0008775498,0.986714,0.00004633963,0.005399052,0.00007728518,0.006747052],"study_design_scores_gemma":[0.002792127,0.0001757378,0.0004392714,0.0002042004,0.000171085,0.00004819647,0.005464396,0.8938855,0.05999612,0.02475402,0.01016824,0.001901093],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003602286,0.00002166648,0.9919171,0.00001942137,0.001241682,0.000399045,0.0001871997,0.0006330806,0.001978557],"genre_scores_gemma":[0.9990477,0.0000152887,0.0004711258,0.00006610831,0.0000475518,0.0001351422,0.0001219047,0.00001618035,0.0000790202],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9954454,"threshold_uncertainty_score":0.6550296,"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."}}