{"id":"W1530142314","doi":"10.1002/ett.1511","title":"Novel partial decision combining schemes for Rayleigh fading","year":2011,"lang":"en","type":"article","venue":"Transactions on Emerging Telecommunications Technologies","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Rayleigh fading; Fading; Rayleigh scattering; Computer science; Algorithm; Mathematics; Electronic engineering; Engineering; Physics; Decoding methods; Optics","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0004322875,0.0002319814,0.0002347536,0.0005269393,0.001578853,0.000109742,0.00336584,0.0001481673,0.0000395694],"category_scores_gemma":[0.0001622526,0.0002358267,0.0001516087,0.001149147,0.0001839305,0.0005605103,0.0001687968,0.0005056281,0.00002790577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008602003,"about_ca_system_score_gemma":0.00005405478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007787455,"about_ca_topic_score_gemma":0.00003164082,"domain_scores_codex":[0.9985465,0.00005928694,0.0004591546,0.0004056491,0.0001582272,0.000371166],"domain_scores_gemma":[0.9962547,0.0005970077,0.000156778,0.002736239,0.0002108921,0.00004440712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001920657,0.0004343734,0.00002738113,0.000005838147,0.00006217742,2.257474e-7,0.001217082,0.0005227702,0.002734808,0.2070336,0.0001530891,0.7877895],"study_design_scores_gemma":[0.003810708,0.000858512,0.0005412915,0.0005973175,0.0001250267,0.00004702311,0.003825598,0.5157469,0.2431139,0.03873288,0.1904616,0.002139193],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00166076,0.0005171148,0.9907143,0.002517236,0.0001832417,0.0004107654,0.000005015732,0.002597411,0.001394224],"genre_scores_gemma":[0.553939,0.001178025,0.4444466,0.00005586133,0.000003454443,0.0003138687,0.000003336293,0.0000141911,0.00004564911],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7856503,"threshold_uncertainty_score":0.9997209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08825230779126586,"score_gpt":0.3119523440535032,"score_spread":0.2237000362622373,"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."}}