{"id":"W4417201807","doi":"10.1109/tcbbio.2025.3620157","title":"On the Size of the Neighborhoods of a Word","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Computational Biology and Bioinformatics","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Unary operation; Word (group theory); Matching (statistics); Upper and lower bounds; Set (abstract data type)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000133967,0.00007062466,0.00009899061,0.00005484528,0.000178949,0.00001292659,0.0003430155,0.00005306923,0.000008091982],"category_scores_gemma":[0.00001619086,0.00003548778,0.00005240435,0.000281161,0.0001627407,0.00007987495,0.00001093494,0.0001215096,0.000001931025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000643134,"about_ca_system_score_gemma":0.00006544284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004836471,"about_ca_topic_score_gemma":0.000001232724,"domain_scores_codex":[0.9994707,0.00004800448,0.0002444527,0.00007492177,0.00009168833,0.00007022652],"domain_scores_gemma":[0.998381,0.001218605,0.0001061841,0.0002169734,0.00006398324,0.00001329785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007905065,0.0003121581,0.0001332808,0.00009741954,0.0001576164,1.894373e-7,0.0008346415,0.05363851,0.0002446972,0.6291762,0.001200714,0.3141255],"study_design_scores_gemma":[0.0004355446,0.000182012,0.003781653,0.0001307827,0.00001653602,0.000004356755,0.00006494506,0.908143,0.004333616,0.08251711,0.0003012713,0.00008920098],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01067786,0.00001906505,0.9867974,0.001478712,0.0003235699,0.0001123511,0.00004584486,0.000012386,0.0005327963],"genre_scores_gemma":[0.9739582,0.00001511439,0.02514365,0.0008329894,0.000003779973,0.000004627718,0.000001448722,0.000001023905,0.00003916634],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9632803,"threshold_uncertainty_score":0.144715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009262899016023196,"score_gpt":0.2510928146470164,"score_spread":0.2418299156309932,"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."}}