{"id":"W7100628069","doi":"","title":"University of Alberta Customized Raptor Code Designs for Finite Lengths and Practical Settings","year":2016,"lang":"en","type":"article","venue":"","topic":"Coding theory and cryptography","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Permission; Code (set theory); Block (permutation group theory); Decoding methods; Extension (predicate logic); Raptor code","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001085623,0.0007924867,0.0004747036,0.0007828451,0.0005515674,0.001069315,0.0009319484,0.0007276672,0.003947116],"category_scores_gemma":[0.004461527,0.0003841985,0.0003545158,0.0009558343,0.0007594042,0.000991461,0.001021422,0.00107549,0.00115172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001449027,"about_ca_system_score_gemma":0.002219898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002375545,"about_ca_topic_score_gemma":0.006406813,"domain_scores_codex":[0.9988124,0.0003895686,0.00004907587,0.0001673594,0.0004431192,0.0001384216],"domain_scores_gemma":[0.9974256,0.001055707,0.0002546648,0.0007398278,0.0004500287,0.00007406117],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004559088,0.00009535011,0.0009225734,0.0002939821,0.00006523493,0.0003958977,0.0003484906,0.3526458,0.0339338,0.3114925,0.009771779,0.2895787],"study_design_scores_gemma":[0.00008477327,0.0003348977,0.0005207022,0.000140296,0.00005536899,0.0008528807,0.00006652635,0.8254506,0.03056537,0.1035148,0.03833417,0.00007956454],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03136943,0.001213596,0.9429749,0.0003387332,0.00008564423,0.0001235416,0.0001952505,0.0006956956,0.0230033],"genre_scores_gemma":[0.4160607,0.001283476,0.5685819,0.0001936293,0.00009986022,0.0002849929,0.0002483847,0.0001260126,0.01312115],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003947116,"threshold_uncertainty_score":0.0132044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02561581926195506,"score_gpt":0.2479065248843765,"score_spread":0.2222907056224214,"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."}}