{"id":"W2594639334","doi":"","title":"D-ForenRIA: a distributed tool to reconstruct user sessions for rich internet applications","year":2016,"lang":"en","type":"article","venue":"Computer Science and Software Engineering","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Ajax; Computer science; JavaScript; Session (web analytics); Rich Internet application; Scalability; The Internet; World Wide Web; Web application; Human–computer interaction; Database","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":[0.00203079,0.001574427,0.0008990814,0.003144952,0.0005912889,0.001452061,0.002546091,0.0009943941,0.007347409],"category_scores_gemma":[0.007394833,0.000960686,0.001405963,0.001504782,0.0004880162,0.002200181,0.002652029,0.001818176,0.004918625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005088615,"about_ca_system_score_gemma":0.001316048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002824154,"about_ca_topic_score_gemma":0.0063511,"domain_scores_codex":[0.9989354,0.0001959571,0.0001132095,0.0003768946,0.0003025602,0.00007592855],"domain_scores_gemma":[0.9961935,0.001621409,0.0003545551,0.001238234,0.0003533532,0.0002388736],"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":[0.001457952,0.0007924023,0.02238953,0.001151077,0.0005206926,0.0007439155,0.002321367,0.03310921,0.02584017,0.007661038,0.08761635,0.8163963],"study_design_scores_gemma":[0.0002782293,0.0003127855,0.01412632,0.0001669701,0.0001473044,0.001196852,0.000596025,0.8194811,0.04928249,0.01436878,0.09980114,0.0002420258],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01412193,0.0002310651,0.651728,0.0001100851,0.00006229527,0.0003367824,0.005512649,0.3258983,0.001998799],"genre_scores_gemma":[0.1108367,0.0002467808,0.8531667,0.0001292437,0.00004401545,0.0006337777,0.01834572,0.01230655,0.004290482],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007347409,"threshold_uncertainty_score":0.02457952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009351037355425324,"score_gpt":0.2234102973896348,"score_spread":0.2140592600342094,"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."}}