{"id":"W2100942157","doi":"10.1109/csmr.2010.21","title":"Automating Coverage Metrics for Dynamic Web Applications","year":2010,"lang":"en","type":"article","venue":"","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Instrumentation (computer programming); Web application; The Internet; Code coverage; Database; Set (abstract data type); Software; Operating system; Programming language","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":[0.0002975678,0.00006938047,0.0000728327,0.0001338475,0.0001456414,0.0001336905,0.0005688614,0.00004948276,0.000004773897],"category_scores_gemma":[0.0004146566,0.00006248013,0.00003916953,0.000496665,0.00001533839,0.0001404561,0.000110482,0.0001041823,0.00001655048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001396117,"about_ca_system_score_gemma":0.00005135134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000095405,"about_ca_topic_score_gemma":0.000009259142,"domain_scores_codex":[0.9993992,0.000006496164,0.0001245346,0.0002141855,0.0001030172,0.0001525328],"domain_scores_gemma":[0.9986624,0.0006602267,0.00005465278,0.0004896798,0.00008673689,0.00004635021],"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":[4.790833e-7,0.00006902083,0.002392415,0.00003098515,0.000007093712,7.066078e-7,0.00006250558,0.000007944865,0.005699652,0.1675285,0.01259165,0.811609],"study_design_scores_gemma":[0.0000977185,0.00002562973,0.0005750012,0.000005088113,0.00000287641,0.00001122818,4.801849e-7,0.8694557,0.0006636534,0.1222435,0.006785537,0.0001335769],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002220233,0.00001247458,0.9785719,0.0002571062,0.0001234393,0.0002632353,0.000002812608,0.0163115,0.002237311],"genre_scores_gemma":[0.411494,9.807721e-7,0.5880353,0.000165681,0.00001745412,0.0001335797,0.000001887697,0.000004878653,0.0001461282],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8694478,"threshold_uncertainty_score":0.2547866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01204458379552661,"score_gpt":0.2872492392723478,"score_spread":0.2752046554768212,"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."}}