{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004754857,0.0001363541,0.0001594461,0.0002429713,0.0001943307,0.0003494948,0.001043788,0.00003401154,0.000002088751],"category_scores_gemma":[0.0002261098,0.00009797611,0.00004011828,0.001007988,0.00006996746,0.0007671545,0.000465971,0.00005061644,0.00001283424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005929614,"about_ca_system_score_gemma":0.00009504927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002303635,"about_ca_topic_score_gemma":8.442914e-7,"domain_scores_codex":[0.9986613,0.000007400057,0.0001933201,0.0005714978,0.0002145259,0.0003519767],"domain_scores_gemma":[0.9987945,0.000263008,0.00003889895,0.0005119689,0.0001937947,0.0001978221],"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":[0.000001529112,0.00001974416,0.002787647,0.00002583652,0.00002116932,0.000002163151,0.0001776389,0.0007315929,0.001329901,0.01068438,0.00217922,0.9820392],"study_design_scores_gemma":[0.001237317,0.0003114998,0.01476036,0.0005826831,0.00005321309,0.0001157994,0.00002516192,0.6904975,0.008295893,0.001276561,0.2811152,0.00172879],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01251679,0.00002547519,0.9864264,0.000265676,0.0002320442,0.0002187782,0.0000472428,0.0002657482,0.000001873897],"genre_scores_gemma":[0.1661105,0.00000490116,0.8333302,0.0001386604,0.0001542857,0.0001921911,0.000006167686,0.000008076965,0.00005507277],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9803104,"threshold_uncertainty_score":0.399535,"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."}}