{"id":"W1531836745","doi":"10.1002/0471219282.eot107","title":"High‐Rate Punctured Convolutional Codes","year":2003,"lang":"en","type":"other","venue":"","topic":"Coding theory and cryptography","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Convolutional code; Coding (social sciences); Computer science; Algorithm; Mathematics; Statistics; Decoding methods","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":[0.0004638457,0.0005268129,0.0003922984,0.0006389073,0.0003027681,0.001071324,0.0005359825,0.0005596205,0.003671173],"category_scores_gemma":[0.00269121,0.0002097182,0.0002903773,0.0007947655,0.0007370671,0.0009917638,0.001229883,0.0009818152,0.001222062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007099626,"about_ca_system_score_gemma":0.0004801713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004764091,"about_ca_topic_score_gemma":0.0003065375,"domain_scores_codex":[0.9992614,0.0001206151,0.00003634718,0.00007401656,0.000404604,0.0001028896],"domain_scores_gemma":[0.9988825,0.0003858567,0.0001214721,0.0002618468,0.0002930505,0.00005526514],"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":[0.0003755481,0.00007197371,0.001279342,0.0003759475,0.00005849865,0.0008075724,0.0002527502,0.1232254,0.09045754,0.6078143,0.004760823,0.1705202],"study_design_scores_gemma":[0.00006732356,0.0002538134,0.001786961,0.0002420055,0.0000554576,0.002151468,0.00006362163,0.518335,0.1364375,0.3037621,0.03671999,0.0001248166],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2110736,0.00366687,0.7090574,0.0005832755,0.0002498296,0.00007888221,0.0003443029,0.001007544,0.0739383],"genre_scores_gemma":[0.9270037,0.001604222,0.0614319,0.0001593801,0.0001274194,0.00004891697,0.0002025617,0.00008653579,0.009335336],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003671173,"threshold_uncertainty_score":0.0122813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008329646067091911,"score_gpt":0.2032129072808378,"score_spread":0.1948832612137459,"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."}}