{"id":"W4409642825","doi":"10.1109/icaisc64594.2025.10959692","title":"Performance and Implementation Comparison of Knuth-Morris-Pratt and Boyer-Moore String Search Algorithms","year":2025,"lang":"en","type":"article","venue":"","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Algorithm; Boyer–Moore string search algorithm; String (physics); Theoretical computer science; String searching algorithm; Commentz-Walter algorithm; Mathematics; Programming language; 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":[0.001831732,0.0006131557,0.0006808048,0.002122391,0.0006620144,0.001715197,0.002329142,0.001268412,0.004796551],"category_scores_gemma":[0.01029296,0.0002923334,0.0004786398,0.004043219,0.0005647541,0.00254839,0.0006864203,0.0007494072,0.001613199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001371994,"about_ca_system_score_gemma":0.00199024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006701295,"about_ca_topic_score_gemma":0.005814224,"domain_scores_codex":[0.9977384,0.0005587543,0.0003770049,0.0003415318,0.0007310713,0.0002531378],"domain_scores_gemma":[0.9950132,0.00264377,0.0002461943,0.0006286307,0.001286725,0.0001814838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005053998,0.0009109489,0.01535216,0.0008993719,0.0003428609,0.0004350926,0.0006643379,0.2194914,0.02748826,0.02178859,0.0241842,0.6833887],"study_design_scores_gemma":[0.0004584534,0.001269262,0.006232124,0.0000981409,0.0001243846,0.0005415919,0.0004258918,0.9169288,0.0537288,0.006338923,0.01376792,0.00008576189],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8292185,0.006412496,0.1227976,0.001276158,0.0004360686,0.0002908277,0.00128689,0.01137511,0.02690651],"genre_scores_gemma":[0.7450954,0.00174609,0.2400863,0.0002950754,0.00008685049,0.0002449762,0.002989726,0.0005518061,0.008903801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006701295,"threshold_uncertainty_score":0.01604611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02302105592950309,"score_gpt":0.3491718396918705,"score_spread":0.3261507837623674,"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."}}