{"id":"W4236531402","doi":"10.1109/isscc.2003.1234243","title":"A 13.3Mb/s 0.35μm CMOS analog turbo decoder IC with a configurable interleaver","year":2003,"lang":"en","type":"article","venue":"","topic":"Analog and Mixed-Signal Circuit Design","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"CMOS; Computer science; Decoding methods; Turbo code; Electronic engineering; Turbo; Latency (audio); Computer hardware; Telecommunications; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001481154,0.0002515689,0.0002668587,0.0001096441,0.00006135357,0.00005735592,0.0001395863,0.0001072594,0.002209191],"category_scores_gemma":[0.00001977701,0.0001965538,0.00007371996,0.0002521797,0.00004942489,0.0001556908,0.000004956413,0.0002252135,0.0005227621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006364839,"about_ca_system_score_gemma":0.00004129966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006852754,"about_ca_topic_score_gemma":0.0001896934,"domain_scores_codex":[0.9988903,0.00004139891,0.0002142653,0.0002483649,0.0001631761,0.0004424843],"domain_scores_gemma":[0.9994266,0.00005736041,0.00002328092,0.0002728022,0.00005853478,0.00016144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001908671,0.0005145017,0.0107195,0.0006528326,0.002679688,0.001107866,0.003761194,0.06318583,0.05386091,0.5739883,0.2596838,0.02965466],"study_design_scores_gemma":[0.01596026,0.002689774,0.006576806,0.0009303192,0.001163806,0.002446031,0.005915787,0.04493508,0.4099893,0.05451559,0.4452729,0.009604354],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02811855,0.0004954615,0.5552868,0.000006697973,0.0001457097,0.0002094953,0.000004174895,0.000463773,0.4152693],"genre_scores_gemma":[0.991508,0.00002434645,0.0002429265,0.0002883241,0.00003311255,0.0000282679,0.000006160229,0.00005556932,0.007813281],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9633895,"threshold_uncertainty_score":0.9987029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005792572609285906,"score_gpt":0.1608147356749238,"score_spread":0.1550221630656379,"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."}}