{"id":"W2097552972","doi":"10.1109/iscc.2003.1214131","title":"Rate design rule for Rayleigh fading channels with interleaving","year":2004,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Rayleigh fading; Additive white Gaussian noise; Interleaving; Fading; Computer science; Decoding methods; Channel state information; Algorithm; Electronic engineering; Channel (broadcasting); Fading distribution; Telecommunications; Engineering; Wireless","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":[0.002482788,0.000879088,0.0006844662,0.0006833858,0.0003620861,0.001362502,0.000959778,0.0008199156,0.001697599],"category_scores_gemma":[0.008091445,0.0002979835,0.0004202245,0.0005186867,0.000948109,0.0009568057,0.0007867058,0.001333895,0.001664233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000711843,"about_ca_system_score_gemma":0.0008564477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007599428,"about_ca_topic_score_gemma":0.0004896685,"domain_scores_codex":[0.996732,0.0009554003,0.0002796702,0.0004206888,0.001356935,0.0002552882],"domain_scores_gemma":[0.9966674,0.001446909,0.0002833512,0.0004630385,0.00107621,0.00006301152],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002277086,0.00005754247,0.0007280557,0.0002492106,0.00004634695,0.000368139,0.0002622502,0.191809,0.03158898,0.6161209,0.00554574,0.1529963],"study_design_scores_gemma":[0.0001109585,0.0002173679,0.0002279028,0.0001034333,0.00004647876,0.0009422591,0.00002990577,0.7229587,0.04310784,0.2049878,0.02717867,0.00008872939],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003796027,0.0003207511,0.99111,0.00009207199,0.00005528217,0.00006148408,0.00006643255,0.0002608006,0.004237216],"genre_scores_gemma":[0.3786798,0.001807118,0.6120676,0.0004495562,0.000240127,0.0009204645,0.000378481,0.000294663,0.00516221],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002482788,"threshold_uncertainty_score":0.01313037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0244899202253166,"score_gpt":0.2503866491559203,"score_spread":0.2258967289306037,"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."}}