{"id":"W4240430849","doi":"10.1002/0471219282.eot118","title":"Trellis Coding","year":2003,"lang":"en","type":"other","venue":"","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Coding (social sciences); Computer science; Very-large-scale integration; Trellis (graph); Error detection and correction; Arithmetic; Theoretical computer science; Algorithm; Decoding methods; Mathematics; Embedded system; Statistics","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":[0.000396264,0.0005239734,0.0005077922,0.001045326,0.0003757048,0.001057717,0.0006927694,0.0006476112,0.01411517],"category_scores_gemma":[0.001705577,0.0001347791,0.0002751778,0.001331074,0.0005957655,0.0006948846,0.0006699312,0.0008122489,0.005155725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007324339,"about_ca_system_score_gemma":0.0007970086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002145346,"about_ca_topic_score_gemma":0.002407444,"domain_scores_codex":[0.999473,0.00009811654,0.00002458103,0.00007796784,0.0002460717,0.00008033893],"domain_scores_gemma":[0.9991713,0.0002556037,0.00007874901,0.0002004527,0.0002677186,0.00002617968],"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":[0.0001331153,0.00004670974,0.0003815122,0.0003359384,0.00003973697,0.0003342095,0.0001214034,0.03950111,0.0206818,0.55983,0.05062554,0.327969],"study_design_scores_gemma":[0.0001378549,0.0002305744,0.000747299,0.0003508899,0.00005566209,0.001587736,0.00005445753,0.306195,0.04918029,0.3210777,0.3202856,0.00009687342],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01432734,0.006374564,0.75804,0.001374161,0.0006911137,0.0002993671,0.001633754,0.001633489,0.2156263],"genre_scores_gemma":[0.4511327,0.009804831,0.3065651,0.001282787,0.001081158,0.0006780842,0.004443842,0.0003028973,0.2247085],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01411517,"threshold_uncertainty_score":0.04721987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0102542083243622,"score_gpt":0.2324946407507457,"score_spread":0.2222404324263835,"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."}}