{"id":"W1827782689","doi":"10.1007/978-3-540-39737-3_42","title":"A Poisson Model for User Accesses to Web Pages","year":2003,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Session (web analytics); Premise; Web page; Aggregate (composite); World Wide Web; Static web page; Web navigation; Information retrieval","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009862641,0.0005977026,0.000658534,0.0009225218,0.0002580371,0.001017012,0.004075264,0.0003536315,0.000004906045],"category_scores_gemma":[0.00008852811,0.0005203572,0.0001842952,0.000535681,0.0001536519,0.0007464021,0.001109239,0.0004267372,0.00001339021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002526015,"about_ca_system_score_gemma":0.0004611643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001317117,"about_ca_topic_score_gemma":0.0001499988,"domain_scores_codex":[0.9961511,0.00002836244,0.0005784788,0.001746958,0.00071849,0.0007765318],"domain_scores_gemma":[0.9972088,0.000352054,0.0002550104,0.001602683,0.0003367426,0.0002447049],"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":[0.00001136797,0.00007309647,0.00004809556,0.0002055707,0.00003165448,0.00003815067,0.001349658,0.03642471,0.0004638373,0.119133,0.008040601,0.8341803],"study_design_scores_gemma":[0.0002067356,0.000211406,0.000007511248,0.0003972279,0.000006758719,0.00003618941,1.029854e-7,0.7653608,0.002957301,0.1890216,0.0409522,0.0008421902],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00001367056,0.0002639375,0.9897991,0.003795626,0.001357649,0.001133559,0.00001282273,0.0003177718,0.003305897],"genre_scores_gemma":[0.03581468,0.00008871408,0.9553185,0.006660437,0.0002883046,0.0001200425,0.000003018813,0.0000596611,0.001646672],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8333381,"threshold_uncertainty_score":0.9997248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04229435295853148,"score_gpt":0.2859099418737206,"score_spread":0.2436155889151891,"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."}}