{"id":"W1594439285","doi":"","title":"OVERLAY PROBLEMS FOR MUSIC AND COMBINATORICS 1,2","year":2010,"lang":"en","type":"preprint","venue":"","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Pacific Institute for the Mathematical Sciences","funders":"","keywords":"Substring; Computer science; Conjecture; String searching algorithm; Deterministic finite automaton; Decision problem; Automaton; String (physics); Theoretical computer science; Suffix; Type (biology); Combinatorial optimization; Pattern matching; Combinatorics; Algorithm; Mathematics; Data structure; Artificial intelligence; Programming language","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":[0.001217902,0.0009661926,0.001142009,0.001528487,0.002240601,0.004955396,0.001564182,0.00212718,0.01475691],"category_scores_gemma":[0.007617165,0.0004572196,0.0009444953,0.00520468,0.003927785,0.008519854,0.002436924,0.004417529,0.001778815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003198835,"about_ca_system_score_gemma":0.00159029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00184887,"about_ca_topic_score_gemma":0.001893405,"domain_scores_codex":[0.9983888,0.0004591755,0.0001328371,0.0003966181,0.0004652559,0.0001574354],"domain_scores_gemma":[0.9954296,0.003396595,0.0002123676,0.0005291849,0.0002435387,0.0001887022],"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":[0.00009397071,0.00009054708,0.0005507559,0.0004011817,0.0000199147,0.0001158723,0.0002099598,0.01179107,0.001215112,0.8853921,0.01690509,0.08321453],"study_design_scores_gemma":[0.00001752158,0.00001651582,0.0001929952,0.00003645301,0.000008815784,0.0001587488,0.0001182108,0.01987249,0.0007009636,0.9597069,0.01915824,0.00001215343],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09276322,0.01905656,0.7668573,0.01523246,0.001247841,0.0002930835,0.001747436,0.001197506,0.1016047],"genre_scores_gemma":[0.5609548,0.0100235,0.3888817,0.001245424,0.001789677,0.0004782273,0.002317657,0.0005245146,0.03378445],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01475691,"threshold_uncertainty_score":0.04936683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02836269485026472,"score_gpt":0.251765867156383,"score_spread":0.2234031723061183,"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."}}