{"id":"W2062134786","doi":"10.1016/j.ipm.2009.04.007","title":"Empirical observations on the session timeout threshold","year":2009,"lang":"en","type":"article","venue":"Information Processing & Management","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Timeout; Session (web analytics); Computer science; Computer network; World Wide Web","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":[0.0003659003,0.0001358082,0.00008706122,0.0002258302,0.000383693,0.0006924968,0.001207148,0.00005045613,0.000005166815],"category_scores_gemma":[0.00004411888,0.00009252426,0.00003108091,0.00104041,0.0000221759,0.001900158,0.0003035297,0.0001553513,0.0003071036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008462065,"about_ca_system_score_gemma":0.00002500849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.741688e-7,"about_ca_topic_score_gemma":3.229331e-7,"domain_scores_codex":[0.998736,0.00001383052,0.0003111541,0.0001688675,0.000515206,0.0002549845],"domain_scores_gemma":[0.9991029,0.00002843516,0.0001337198,0.0005911335,0.0001002436,0.00004355026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004363228,0.00003690294,0.00008533392,0.000015725,0.000005882296,0.00000182595,0.0008681007,0.004895676,0.000006099028,0.1002453,0.07611334,0.8177214],"study_design_scores_gemma":[0.0004884462,0.0002360908,0.08344646,0.00043881,0.00001940167,0.000007125735,0.0004807163,0.3568058,0.0006897704,0.1073443,0.4494084,0.0006346848],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01200611,0.00003543215,0.7801461,0.1354652,0.0002197704,0.0006881586,0.000001070673,0.001650401,0.06978782],"genre_scores_gemma":[0.919045,0.000006398731,0.05054024,0.02970883,0.00002804712,0.00006865836,0.000008219872,0.000004007315,0.0005905606],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9070389,"threshold_uncertainty_score":0.6677763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04708374987156168,"score_gpt":0.2914557649864874,"score_spread":0.2443720151149257,"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."}}