{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002290069,0.0001940199,0.0002215661,0.0000646693,0.0001168716,0.0003954069,0.0009837258,0.000285781,0.00001254679],"category_scores_gemma":[0.00002405671,0.000153137,0.00005726587,0.00006181933,0.00003062723,0.0002240951,0.003475766,0.0004441809,0.000004989408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001410084,"about_ca_system_score_gemma":0.00006947381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007477091,"about_ca_topic_score_gemma":0.00001386216,"domain_scores_codex":[0.9987797,0.00001415068,0.0001876975,0.0006239982,0.0001849161,0.0002095466],"domain_scores_gemma":[0.9986404,0.00009069502,0.0001197819,0.0009362065,0.0001074866,0.0001053882],"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":[0.000004510096,0.000200181,0.0001225326,0.0005508113,0.00003687482,0.000004928699,0.0005090999,0.0001094121,0.0004948615,0.7826574,0.05696507,0.1583443],"study_design_scores_gemma":[0.0004474448,0.00007549675,0.0005788529,0.00008683169,0.00001004189,0.000008216814,0.000003682335,0.488111,0.0003140261,0.3843164,0.1256279,0.0004202026],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001912436,0.000257488,0.9920426,0.0004021291,0.002647616,0.0006181767,0.00003140474,0.000202946,0.00188521],"genre_scores_gemma":[0.1501647,0.0002235521,0.8445674,0.0006587089,0.0005004235,0.0003843823,0.0001607728,0.00004955251,0.003290581],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4880015,"threshold_uncertainty_score":0.6244747,"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."}}