{"id":"W4414234929","doi":"10.1145/3767145.3767151","title":"SIGACT News Complexity Theory Column 126 <b>Locally Decodable Codes for Insertions and Deletions</b>","year":2025,"lang":"en","type":"article","venue":"ACM SIGACT News","topic":"DNA and Biological Computing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Decoding methods; Hamming distance; Synchronization (alternating current); Hamming code; List decoding; Key (lock); Hamming weight","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":[0.002552921,0.001426392,0.001327929,0.001876451,0.00232691,0.006481255,0.001864938,0.00346461,0.03791168],"category_scores_gemma":[0.008579062,0.0009542929,0.0009780402,0.002290373,0.002829919,0.00556996,0.001945927,0.01017618,0.0161949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003939576,"about_ca_system_score_gemma":0.002498002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006558517,"about_ca_topic_score_gemma":0.00866218,"domain_scores_codex":[0.9977925,0.0005116626,0.0001454573,0.0002837511,0.001008331,0.0002583376],"domain_scores_gemma":[0.9919741,0.004416055,0.0003893377,0.001087749,0.001554717,0.0005781187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001085641,0.00005750886,0.0002348729,0.0003482732,0.00004800716,0.00009161266,0.00003605122,0.002059446,0.0008900799,0.1329339,0.808911,0.05428069],"study_design_scores_gemma":[0.0000795716,0.00009717367,0.0007823459,0.0002581436,0.00004776348,0.000307117,0.00005950347,0.01673257,0.002609458,0.1484343,0.8305097,0.00008238948],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007824214,0.05696055,0.1626272,0.2283227,0.08916197,0.000332173,0.008453229,0.003703054,0.4426149],"genre_scores_gemma":[0.2508235,0.08503436,0.1036349,0.06033181,0.09849565,0.001476342,0.01465079,0.003408371,0.3821444],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03791168,"threshold_uncertainty_score":0.1268272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03030504865872188,"score_gpt":0.3013024295391453,"score_spread":0.2709973808804235,"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."}}