{"id":"W2115113441","doi":"10.1109/lcomm.2008.080394","title":"Modified Transition Matrix Simulations of Communication Systems","year":2008,"lang":"en","type":"article","venue":"IEEE Communications Letters","topic":"Blind Source Separation Techniques","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Fading; Computer science; Stochastic matrix; Matrix (chemical analysis); Probability distribution; Communications system; Statistical physics; Transition (genetics); Algorithm; Bit error rate; Mathematics; Decoding methods; Telecommunications; Statistics; Physics; Markov chain; Materials science","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":[0.0003536344,0.0001205846,0.0001837529,0.000280443,0.000414584,0.0000600243,0.0024192,0.00007293589,0.000002153928],"category_scores_gemma":[0.00002397837,0.0001363129,0.00008088969,0.0006140747,0.0002500489,0.0007369593,0.0001588768,0.0002261597,0.00001192096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005772778,"about_ca_system_score_gemma":0.0000581429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002063343,"about_ca_topic_score_gemma":0.00001275027,"domain_scores_codex":[0.9984131,0.0005656718,0.0004945219,0.0001756621,0.0002148332,0.0001361952],"domain_scores_gemma":[0.9954203,0.0003752495,0.0002592006,0.003686395,0.0002119599,0.00004688533],"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":[0.000007376477,0.000423131,0.0001745857,0.00002278134,0.00006716556,9.300492e-7,0.01300917,0.3657271,0.06699961,0.5483251,0.004556393,0.0006866517],"study_design_scores_gemma":[0.0004373448,0.00003206465,0.0004352463,0.00006000707,0.00001634087,0.00002464165,0.00005858465,0.9894263,0.003976324,0.001898422,0.003358296,0.0002764926],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06663322,0.0003627461,0.9209393,0.01015128,0.00006041182,0.0003658739,0.00001739023,0.0003882229,0.001081542],"genre_scores_gemma":[0.8915532,0.0002461906,0.1074331,0.0005990893,0.000009337418,0.00005880892,0.00006116802,0.00001161637,0.00002746491],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.82492,"threshold_uncertainty_score":0.5558679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05535200371156912,"score_gpt":0.3048020358261642,"score_spread":0.249450032114595,"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."}}