{"id":"W4408867802","doi":"10.2139/ssrn.5193979","title":"V-Words, Lyndon Words and Galois Words","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Mathematics; Computer science; Natural language processing; Linguistics; Arithmetic; Philosophy","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":[0.0007705296,0.0006745221,0.0006597121,0.002605858,0.0008865919,0.003261119,0.0006155534,0.001308904,0.006407387],"category_scores_gemma":[0.005288997,0.0003448851,0.0004058122,0.002590463,0.002988836,0.004178349,0.002303733,0.001392899,0.00132475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007218699,"about_ca_system_score_gemma":0.0003642336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003453594,"about_ca_topic_score_gemma":0.0003588244,"domain_scores_codex":[0.9990218,0.0003125015,0.00006494746,0.0001696296,0.0002667322,0.000164386],"domain_scores_gemma":[0.9984818,0.0008249801,0.0001809262,0.000250245,0.0001354101,0.0001266117],"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":[0.0003201147,0.00002656813,0.0008181551,0.000122939,0.00001846095,0.0002262792,0.0003755466,0.002733273,0.00396741,0.9272554,0.002507303,0.06162859],"study_design_scores_gemma":[0.00001641608,0.00004089089,0.0002073057,0.00003657586,0.000009121834,0.0001954399,0.0001541635,0.005093814,0.00164377,0.9869742,0.005613444,0.00001469709],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.4493397,0.01602998,0.4214863,0.002529928,0.001311895,0.0001086994,0.0005288245,0.0009494894,0.1077152],"genre_scores_gemma":[0.9437901,0.002557893,0.02634182,0.0007392666,0.000534955,0.0001004032,0.0003583755,0.0001890954,0.02538814],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.006407387,"threshold_uncertainty_score":0.02143484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008411261213417329,"score_gpt":0.2528590531951012,"score_spread":0.2444477919816838,"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."}}