{"id":"W2104443771","doi":"10.1007/978-3-642-15874-2_17","title":"Appended m-Sequences with Merit Factor Greater than 3.34","year":2010,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Coding theory and cryptography","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Figure of merit; Sequence (biology); Pseudorandom binary sequence; Binary number; Conjecture; Rotation (mathematics); Legendre polynomials; Fraction (chemistry); Factor (programming language); Mathematics; Combinatorics; Algorithm; Computer science; Arithmetic; Geometry; Mathematical analysis","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":[0.0003853787,0.0008698857,0.0009156574,0.001206328,0.001237817,0.001265788,0.0009119548,0.001615179,0.07440986],"category_scores_gemma":[0.003786889,0.0003325989,0.0006158694,0.001093921,0.0006018718,0.001622521,0.001702248,0.001971772,0.04590907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005467602,"about_ca_system_score_gemma":0.0006308985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002424214,"about_ca_topic_score_gemma":0.0003658499,"domain_scores_codex":[0.999522,0.00008418438,0.00005066958,0.00008442799,0.0001544372,0.0001044073],"domain_scores_gemma":[0.9988388,0.0002326808,0.0001009057,0.000312945,0.0003778619,0.0001369169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001797458,0.000176695,0.0006246331,0.001284995,0.00005780574,0.002070771,0.0003623134,0.003367256,0.08807193,0.2901016,0.1825428,0.4295418],"study_design_scores_gemma":[0.00009931521,0.0003658847,0.0007775357,0.000422289,0.00003927137,0.002677076,0.0001063051,0.005496929,0.05786287,0.23047,0.7016012,0.00008131422],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.06776297,0.00707013,0.3701807,0.005995574,0.02819882,0.0006712595,0.007334853,0.006078365,0.5067074],"genre_scores_gemma":[0.2754644,0.003411763,0.2413582,0.002654677,0.002607387,0.0007163102,0.008442894,0.001911191,0.4634331],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.07440986,"threshold_uncertainty_score":0.2489258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0162522383628986,"score_gpt":0.2241522732400054,"score_spread":0.2079000348771068,"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."}}