{"id":"W1982358125","doi":"10.1016/j.tcs.2015.03.026","title":"On hardness of several string indexing problems","year":2015,"lang":"en","type":"article","venue":"Theoretical Computer Science","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Danmarks Grundforskningsfond","keywords":"String (physics); Search engine indexing; Computer science; Mathematics; Combinatorics; Information retrieval","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001601472,0.0001453097,0.0001988901,0.0001742337,0.0001742556,0.0002515429,0.00248202,0.00004135567,0.000007989565],"category_scores_gemma":[0.0001096948,0.0001094391,0.00003969905,0.000872408,0.001020354,0.0008893655,0.001695803,0.0001789538,0.00002800976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005468123,"about_ca_system_score_gemma":0.0001855438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007003111,"about_ca_topic_score_gemma":1.331279e-7,"domain_scores_codex":[0.99764,0.00007606739,0.0002634376,0.0006021024,0.001003624,0.0004148132],"domain_scores_gemma":[0.9983327,0.0001060395,0.00009048063,0.0009037331,0.0002422516,0.0003248221],"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":[0.000007271007,0.00005590876,0.00002974811,0.00000563763,0.000001615832,0.000005167567,0.0004242895,0.003602985,0.0001137523,0.977191,0.0001135473,0.01844913],"study_design_scores_gemma":[0.0002848996,0.0002790083,0.0002689835,0.00007954839,0.000001247287,0.00001455478,0.000004747023,0.7795235,0.002511423,0.2167784,0.0001084167,0.0001452756],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02773302,0.00001325201,0.9687911,0.0001895341,0.0009812304,0.0001129259,0.000001837365,0.000112554,0.002064543],"genre_scores_gemma":[0.8512925,6.727915e-7,0.1484673,0.0001577455,0.00006468554,0.000002488791,6.365259e-7,0.000004561239,0.000009412393],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8235595,"threshold_uncertainty_score":0.4612252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02398829032678145,"score_gpt":0.2594345300040363,"score_spread":0.2354462396772549,"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."}}