{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00176377,0.001387666,0.0009191639,0.005020054,0.0006699858,0.001258205,0.001890494,0.001364489,0.001336235],"category_scores_gemma":[0.008306817,0.0007079102,0.001221418,0.002010665,0.0006781316,0.001319464,0.001326157,0.0008651415,0.0004993437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009880997,"about_ca_system_score_gemma":0.001596473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007816777,"about_ca_topic_score_gemma":0.01530709,"domain_scores_codex":[0.9989333,0.000322257,0.00007313859,0.0002946237,0.0002760158,0.0001007669],"domain_scores_gemma":[0.9963803,0.002705789,0.0002326346,0.0002944121,0.0003046763,0.00008215775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004241817,0.0008305811,0.06462611,0.001350877,0.0007177609,0.001236269,0.001226029,0.4861003,0.02067932,0.01256083,0.0153095,0.3949382],"study_design_scores_gemma":[0.00004457428,0.00007530297,0.002264166,0.00003304131,0.0000473303,0.0001067993,0.0001703975,0.9873181,0.002071051,0.005065294,0.002784724,0.00001925385],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5336146,0.002239388,0.4285337,0.0008370488,0.0001120185,0.0005831367,0.003542358,0.02349428,0.007043511],"genre_scores_gemma":[0.4895853,0.0003904593,0.4989241,0.0002917134,0.00002415111,0.0004299651,0.007264313,0.001166768,0.001923235],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.007816777,"threshold_uncertainty_score":0.01554257,"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."}}