{"id":"W4415367806","doi":"10.1109/isit63088.2025.11195625","title":"Improved Constructions of Skew-Tolerant Gray Codes","year":2025,"lang":"","type":"article","venue":"","topic":"Coding theory and cryptography","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Gray (unit); Gray code; Exponential function","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":[0.0009315273,0.0007200615,0.0007168353,0.001252828,0.0007467983,0.001084495,0.001130784,0.0006116781,0.003281996],"category_scores_gemma":[0.004398628,0.0004006155,0.0005236738,0.001163381,0.001508275,0.001958553,0.003364676,0.002126367,0.0009339547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008589338,"about_ca_system_score_gemma":0.000845489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004197173,"about_ca_topic_score_gemma":0.0004920801,"domain_scores_codex":[0.9989189,0.0001923315,0.0000727799,0.0001255583,0.000485349,0.0002050676],"domain_scores_gemma":[0.9972632,0.0007835901,0.0002432568,0.0009236506,0.0005662778,0.0002200658],"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":[0.0003854736,0.00008901908,0.0009532886,0.0002785457,0.00003353224,0.0005011449,0.0005798991,0.06418429,0.05846566,0.7399943,0.005930628,0.1286041],"study_design_scores_gemma":[0.0001423324,0.0004104056,0.0006749449,0.0001235403,0.00007237605,0.0014526,0.000221156,0.2763005,0.1007187,0.5809045,0.03882331,0.0001557768],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1720845,0.001508503,0.7947369,0.0009301056,0.0004803222,0.0001622086,0.0003206769,0.001667108,0.02810965],"genre_scores_gemma":[0.7943074,0.001181389,0.1897718,0.0005672329,0.000207044,0.0001567899,0.0003869648,0.0003700273,0.01305138],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003281996,"threshold_uncertainty_score":0.01097929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007889438034966365,"score_gpt":0.238796188712744,"score_spread":0.2309067506777776,"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."}}