{"id":"W2248162944","doi":"10.2495/data030381","title":"A generic Data Mart architecture to support Web mining","year":2003,"lang":"en","type":"article","venue":"International Conference on Data Mining","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hatch (Canada)","funders":"","keywords":"Computer science; Session (web analytics); Web mining; Table (database); World Wide Web; Task (project management); Web page; Architecture; Information retrieval; Dimension (graph theory); Web mapping; Web navigation; Data mining; Engineering","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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.0007018473,0.0002226761,0.0001833629,0.0002353285,0.0001510745,0.0006971178,0.009135109,0.00005593496,0.0003854154],"category_scores_gemma":[0.000506884,0.0002190658,0.0000224198,0.0003933412,0.00004175567,0.001070845,0.003146613,0.0001881739,0.000335024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003726828,"about_ca_system_score_gemma":0.0003781811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002123471,"about_ca_topic_score_gemma":0.000062604,"domain_scores_codex":[0.9973466,0.00006208004,0.0003583764,0.001301985,0.0005773561,0.0003535579],"domain_scores_gemma":[0.9955377,0.0001427446,0.0001362549,0.003849637,0.0001312452,0.0002024403],"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":[0.00001213205,0.00016408,0.0005104989,0.000007204798,0.00009144955,0.0000656433,0.0008114833,0.00007214529,0.001443441,0.09272522,0.1824248,0.7216719],"study_design_scores_gemma":[0.0003191213,0.0001152102,0.0002355369,0.00007798601,0.00001040149,0.0001030798,0.0002456774,0.3172455,0.0001387447,0.0003584495,0.6807603,0.0003899242],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01200433,0.00002503131,0.8822278,0.00929937,0.00160657,0.0003212778,0.004894011,0.0002980845,0.08932354],"genre_scores_gemma":[0.1787165,0.00002316213,0.8127822,0.002176023,0.0002362753,0.00004646153,0.004189854,0.00002483207,0.001804713],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.721282,"threshold_uncertainty_score":0.996226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1893250635618382,"score_gpt":0.3605272409955781,"score_spread":0.1712021774337399,"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."}}