{"id":"W4389478736","doi":"10.1007/978-3-031-49611-0_34","title":"V-Words, Lyndon Words and Substring circ-UMFFs","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Substring; Lexicographical order; Combinatorics; Order (exchange); Factorization; Generalization; String (physics); Mathematics; Discrete mathematics; Computer science; Algorithm; Data structure","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":[0.0004650408,0.0005781314,0.0006916875,0.002053888,0.001673837,0.002237815,0.0007381014,0.0009573943,0.008904762],"category_scores_gemma":[0.002668424,0.0003213094,0.0004773285,0.002395088,0.002433038,0.002624705,0.001319231,0.001302487,0.002540794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008378401,"about_ca_system_score_gemma":0.0004550677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007566026,"about_ca_topic_score_gemma":0.0009787855,"domain_scores_codex":[0.9996039,0.00008157291,0.00003046916,0.00008039958,0.0001255519,0.00007798274],"domain_scores_gemma":[0.9992554,0.0003563217,0.0000836522,0.0001123095,0.0001245541,0.00006774917],"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":[0.00005782478,0.00001298335,0.0001999211,0.0000821761,0.000005604973,0.0001943757,0.0002604724,0.0005249474,0.001964692,0.9473245,0.004219425,0.04515305],"study_design_scores_gemma":[0.00000623444,0.00003064546,0.0001858301,0.00004802718,0.000008327817,0.0004364832,0.0001195375,0.002195161,0.001404487,0.9685979,0.02695277,0.00001459217],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1989168,0.02083188,0.3311995,0.001423185,0.003252919,0.0001247321,0.000501858,0.001405307,0.4423439],"genre_scores_gemma":[0.7665573,0.005130725,0.07354768,0.0009605172,0.001320185,0.000186389,0.0007584449,0.0006116739,0.150927],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008904762,"threshold_uncertainty_score":0.02978939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02012152762160887,"score_gpt":0.2444287793174456,"score_spread":0.2243072516958367,"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."}}