{"id":"W1600717382","doi":"10.1007/s10664-012-9200-5","title":"Understanding Ajax applications by connecting client and server-side execution traces","year":2012,"lang":"en","type":"article","venue":"Empirical Software Engineering","topic":"Software Engineering Research","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Ajax; Computer science; World Wide Web; Web application; Client-side; Web 2.0; Web-based simulation; Field (mathematics); Web page; Web API","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000502093,0.00021551,0.0001907279,0.0001521657,0.0002063678,0.0001772895,0.0003783918,0.0001158014,0.000007655523],"category_scores_gemma":[0.0008539484,0.000226435,0.00005335289,0.0005988206,0.0000245335,0.0007244474,0.0002658696,0.0003402457,0.00002256189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003464511,"about_ca_system_score_gemma":0.00001963758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001002555,"about_ca_topic_score_gemma":6.364444e-7,"domain_scores_codex":[0.9982945,0.00002879422,0.0002468074,0.0003786954,0.0003758451,0.0006753008],"domain_scores_gemma":[0.9976957,0.001499263,0.00004413578,0.0003574284,0.00003445469,0.0003689676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001202131,0.0004196391,0.913027,0.0006703844,0.0002058575,0.00002018173,0.005046073,0.03140531,0.004495849,0.01692892,0.007831379,0.01993741],"study_design_scores_gemma":[0.003025227,0.0004675676,0.5207372,0.0005998411,0.0001119453,0.0006436618,0.0007978692,0.1963264,0.01767629,0.002374447,0.2519316,0.005307909],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1316727,0.001214692,0.8653286,0.0002122781,0.0002313763,0.0002038042,0.000003656276,0.001114154,0.00001873308],"genre_scores_gemma":[0.9589939,0.00002307002,0.04062379,0.00005824961,0.000157285,0.00007675085,0.000007658337,0.00003459667,0.00002468391],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8273212,"threshold_uncertainty_score":0.9233752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06906239645443948,"score_gpt":0.2956433215865866,"score_spread":0.2265809251321471,"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."}}