{"id":"W2162837731","doi":"10.1109/glocom.1989.64205","title":"Coherent detection of interleaved trellis encoded CPFSK on shadowed mobile satellite channels","year":2003,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Simon Fraser University","keywords":"Trellis (graph); Interleaving; Convolutional code; Computer science; Algorithm; Fading; Frequency-shift keying; Keying; Decoding methods; Bit error rate; Trellis modulation; Modulation (music); Phase-shift keying; Electronic engineering; Telecommunications; Channel (broadcasting); Demodulation; Engineering; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004208933,0.0003892456,0.0004014862,0.00039758,0.0003319574,0.0005148312,0.0005898541,0.0006630686,0.0009215697],"category_scores_gemma":[0.001632411,0.0002243321,0.0001997413,0.000465104,0.0005028663,0.0006651055,0.0004921854,0.000377876,0.0004007767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005451451,"about_ca_system_score_gemma":0.0006703796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002292769,"about_ca_topic_score_gemma":0.003888765,"domain_scores_codex":[0.9995946,0.00007416068,0.00001142306,0.00004500406,0.0002104202,0.00006431845],"domain_scores_gemma":[0.9992409,0.0003575006,0.000106009,0.00007636293,0.000182101,0.00003714572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001959144,0.0002032424,0.007197022,0.0002785571,0.0001682868,0.001388955,0.0004093856,0.3575432,0.3877234,0.02216766,0.002063093,0.2188981],"study_design_scores_gemma":[0.00007052496,0.0002326442,0.0015872,0.00001537566,0.00003142356,0.0005100779,0.00003079597,0.8782334,0.1156041,0.002395271,0.001248761,0.00004047576],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4306949,0.0005435547,0.5620067,0.0002376688,0.00008647561,0.00005657969,0.0001702261,0.0009090123,0.005294831],"genre_scores_gemma":[0.8892406,0.0002239254,0.1066669,0.00007347608,0.00003886805,0.0000288011,0.0001425079,0.00003285029,0.003552182],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002292769,"threshold_uncertainty_score":0.004558802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01113343500493457,"score_gpt":0.2330712255820116,"score_spread":0.221937790577077,"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."}}