{"id":"W2111253950","doi":"10.1109/dexa.2002.1045928","title":"Clustering Web sessions by sequence alignment","year":2004,"lang":"en","type":"article","venue":"","topic":"Advanced Clustering Algorithms Research","field":"Computer Science","cited_by":114,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Cluster analysis; Sequence (biology); World Wide Web; Information retrieval; Artificial intelligence","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":[0.0001530219,0.0001260445,0.0001044925,0.00006403239,0.0001727981,0.000140599,0.000995017,0.00004135429,0.0000334414],"category_scores_gemma":[0.00002537599,0.0001092602,0.00003421429,0.0003393121,0.00004974077,0.0005596329,0.0008851156,0.0001476931,0.0001860824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002636959,"about_ca_system_score_gemma":0.0001231091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005738287,"about_ca_topic_score_gemma":0.00001220136,"domain_scores_codex":[0.9984955,0.00002612993,0.0001654941,0.0004172812,0.0004464309,0.0004492016],"domain_scores_gemma":[0.9990956,0.00003989315,0.00003114447,0.0005970558,0.00004530078,0.0001910048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001029024,0.00035246,0.00006922535,0.00006180156,0.00005868528,0.0003143681,0.001296416,0.09830733,0.6608332,0.03029235,0.005221001,0.2031829],"study_design_scores_gemma":[0.00192169,0.000297407,0.00007380982,0.0001570168,0.000004143608,0.0002416426,0.0001759664,0.8324533,0.1298522,0.01184681,0.02208252,0.0008935275],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00265123,0.00004558471,0.9896187,0.00276182,0.0001671157,0.0001339081,0.000003533821,0.0003612401,0.004256937],"genre_scores_gemma":[0.4597847,0.00004730597,0.5365685,0.0005643026,0.00003823236,0.00003954777,0.000002125237,0.00001467566,0.00294061],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7341459,"threshold_uncertainty_score":0.4455501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03441255174344665,"score_gpt":0.3268487722889999,"score_spread":0.2924362205455533,"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."}}