{"id":"W2600601717","doi":"10.1109/vtcfall.2016.7881224","title":"Simplified Performance Analysis for Amplify-and-Forward Cooperative Diversity Optimal Detection of Binary Signals with Symmetric Alpha-Stable Noise","year":2016,"lang":"en","type":"article","venue":"","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Noise (video); Correctness; Computer science; Binary number; Probability density function; Algorithm; Interference (communication); Unavailability; Diversity combining; Range (aeronautics); Applied mathematics; Mathematics; Topology (electrical circuits); Fading; Statistics; Telecommunications; Channel (broadcasting); Artificial intelligence; Combinatorics; Engineering","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":[0.001796684,0.001116809,0.0008636074,0.0009207131,0.0004939886,0.001323177,0.0008459916,0.0009287993,0.002103161],"category_scores_gemma":[0.005024996,0.0003811963,0.0005795297,0.0010119,0.001434988,0.001082396,0.0009603845,0.0006145557,0.0004697753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002029442,"about_ca_system_score_gemma":0.001158825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003614459,"about_ca_topic_score_gemma":0.002135784,"domain_scores_codex":[0.9990257,0.000364142,0.00003504268,0.00009783207,0.0003480765,0.0001292465],"domain_scores_gemma":[0.9971927,0.001911743,0.0002380062,0.0001616641,0.0004500766,0.00004587905],"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":[0.0001371229,0.00002970492,0.0008826772,0.0001428432,0.00003526396,0.000281819,0.0002126257,0.8807904,0.01201164,0.09606141,0.0005705347,0.008844063],"study_design_scores_gemma":[0.000004904682,0.00002713601,0.0001703748,0.00001215967,0.000008292441,0.00007593127,0.00002163711,0.9916699,0.0009589994,0.006851927,0.0001899601,0.000008733491],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1439921,0.001670765,0.8296203,0.0004258446,0.0000521026,0.0001030573,0.0002429249,0.0002936857,0.02359928],"genre_scores_gemma":[0.9741985,0.001137611,0.02158011,0.00008995953,0.00004167475,0.00007950932,0.0000840385,0.00003592252,0.002752668],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003614459,"threshold_uncertainty_score":0.01472473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03569901196056392,"score_gpt":0.2529840984676634,"score_spread":0.2172850865070995,"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."}}