{"id":"W4408750113","doi":"10.14722/ndss.2025.230366","title":"EvoCrawl: Exploring Web Application Code and State using Evolutionary Search","year":2025,"lang":"en","type":"article","venue":"","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Code (set theory); Programming language; State (computer science); Theoretical computer science","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":[0.0002045368,0.00005632894,0.00007398884,0.0001593016,0.0001511686,0.0001012616,0.0002735064,0.00001393012,0.000002756257],"category_scores_gemma":[0.00001037983,0.00005279433,0.00001769315,0.0005314935,0.00002620868,0.0004768284,0.0003085953,0.00005685609,0.00001194879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003348452,"about_ca_system_score_gemma":0.00007948213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001550142,"about_ca_topic_score_gemma":0.00001609777,"domain_scores_codex":[0.9993295,0.00003029762,0.0001091934,0.0002784658,0.0001221936,0.000130354],"domain_scores_gemma":[0.9995201,0.00004704827,0.00001669423,0.0003309734,0.0000466394,0.00003854429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001600895,0.0001805798,0.07807624,0.0001467545,0.0002257356,0.00001500964,0.001248684,0.01225538,0.06825533,0.2222368,0.004393504,0.61295],"study_design_scores_gemma":[0.00008434315,0.000005032832,0.00391223,0.00001561338,0.000006554574,0.00000202714,0.00006918329,0.9915784,0.001077195,0.001161582,0.002020773,0.00006706108],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1853074,0.0001115521,0.8128755,0.0005402168,0.00003495819,0.00003827958,0.000003989758,0.0001001158,0.0009879632],"genre_scores_gemma":[0.9233018,0.00004831018,0.0758718,0.00009113465,0.00001406945,0.00001039759,0.000004312672,0.000002526894,0.0006557077],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.979323,"threshold_uncertainty_score":0.215289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05987192101028712,"score_gpt":0.3002262656103483,"score_spread":0.2403543446000611,"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."}}