{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002977575,0.001259204,0.001152776,0.002109548,0.0005387076,0.003593768,0.003743131,0.001115339,0.003670608],"category_scores_gemma":[0.005813645,0.001283115,0.002414485,0.00274064,0.0006047186,0.004211317,0.002995455,0.002353753,0.003622319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009284999,"about_ca_system_score_gemma":0.001942574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004268533,"about_ca_topic_score_gemma":0.003392109,"domain_scores_codex":[0.998036,0.0002259345,0.0004443185,0.0004791293,0.0006677533,0.0001467985],"domain_scores_gemma":[0.9972534,0.0004419348,0.0001785728,0.001362416,0.0005795251,0.0001842016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001599189,0.0008928915,0.0198253,0.002233508,0.0008317474,0.001268771,0.0009181905,0.1678512,0.04302035,0.08171882,0.07828245,0.6015577],"study_design_scores_gemma":[0.0001525732,0.0002613968,0.003507301,0.0001860271,0.000215644,0.000777252,0.0001790167,0.7334134,0.03150814,0.05175604,0.1778686,0.0001746062],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01018681,0.0004126368,0.921486,0.0003375524,0.0001756331,0.0004189611,0.007762587,0.05682397,0.002395795],"genre_scores_gemma":[0.0963467,0.000743652,0.8626626,0.0005636486,0.0001230463,0.0006257151,0.03289585,0.00297966,0.003059129],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004268533,"threshold_uncertainty_score":0.01574713,"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."}}