{"id":"W2610819251","doi":"10.1016/j.tcs.2017.04.008","title":"Reconstructing a string from its Lyndon arrays","year":2017,"lang":"en","type":"article","venue":"Theoretical Computer Science","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"String (physics); Combinatorics; Computer science; Mathematics; Algorithm","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006373531,0.0005815668,0.0007371661,0.0008774817,0.0004878764,0.001012124,0.0006862385,0.001514859,0.00283399],"category_scores_gemma":[0.005010524,0.0003506456,0.0004943699,0.001465329,0.0007303362,0.0021712,0.001605017,0.001542641,0.001682243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002882657,"about_ca_system_score_gemma":0.0006044435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000500473,"about_ca_topic_score_gemma":0.0006836639,"domain_scores_codex":[0.999286,0.0001516443,0.00007681199,0.0001241335,0.0002763362,0.00008503164],"domain_scores_gemma":[0.9980394,0.0009188864,0.0001401188,0.0005504048,0.0002783269,0.00007289871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001852972,0.0001979775,0.003596322,0.0005890444,0.00008918831,0.001298403,0.0007503783,0.04017914,0.1142853,0.1864447,0.01197029,0.6387463],"study_design_scores_gemma":[0.0001088508,0.000477257,0.001541856,0.0001969235,0.00009373509,0.001562323,0.0006434229,0.5078866,0.1380711,0.3288549,0.02045153,0.0001114024],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1366732,0.0005275548,0.8534425,0.0007291485,0.0003087285,0.00004592575,0.000454524,0.001760184,0.006058183],"genre_scores_gemma":[0.5223949,0.0005764777,0.4618595,0.0003117867,0.0001652383,0.0001304608,0.001580062,0.0004134286,0.01256808],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00283399,"threshold_uncertainty_score":0.009480655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0204940698894321,"score_gpt":0.2687786662791555,"score_spread":0.2482845963897234,"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."}}