{"id":"W2938346405","doi":"10.1109/ciss.2019.8692789","title":"Length-Compatible Polar Codes: A Survey : (Invited Paper)","year":2019,"lang":"en","type":"article","venue":"","topic":"Error Correcting Code Techniques","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Puncturing; Polar; Computer science; Polar code; Flexibility (engineering); Algorithm; Coding (social sciences); Code (set theory); Block (permutation group theory); Block code; Theoretical computer science; Computer engineering; Telecommunications; Mathematics; Decoding methods; Programming language; Statistics; Physics","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":[0.000737605,0.0005209513,0.0003832549,0.002000805,0.0004015151,0.00113448,0.0005752287,0.0008241503,0.003758719],"category_scores_gemma":[0.003277499,0.0003124165,0.0002512215,0.002858981,0.0007489106,0.001850572,0.0008697908,0.001232426,0.002289207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006221413,"about_ca_system_score_gemma":0.0007845811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001025682,"about_ca_topic_score_gemma":0.0004977337,"domain_scores_codex":[0.9995166,0.00007982241,0.00003912409,0.00009421808,0.00021687,0.00005343509],"domain_scores_gemma":[0.9983044,0.0007768927,0.0001236702,0.0001406971,0.0005983881,0.00005600406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001522177,0.00004959355,0.001056354,0.00120774,0.00002025647,0.0001764461,0.0001797625,0.008137275,0.005214259,0.09582196,0.01920143,0.8687827],"study_design_scores_gemma":[0.00003464527,0.0004306382,0.001631056,0.0009231388,0.00006094622,0.003601555,0.0002530221,0.02901429,0.02120417,0.06655946,0.876169,0.0001181565],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.03171341,0.4869087,0.3869864,0.003707842,0.002958649,0.0001725319,0.0005426541,0.00053651,0.08647321],"genre_scores_gemma":[0.2501622,0.573549,0.1425769,0.002224804,0.003200568,0.0002308963,0.001253912,0.0003267673,0.02647485],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003758719,"threshold_uncertainty_score":0.0125742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01911263809848944,"score_gpt":0.2561988371804215,"score_spread":0.2370861990819321,"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."}}