{"id":"W7018287819","doi":"","title":"Data mining using relational database management system","year":2005,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Relational database; Confidentiality; The Internet; Data collection","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003758118,0.0005611757,0.001396077,0.003928697,0.001039819,0.004367698,0.002304209,0.000789694,0.005090444],"category_scores_gemma":[0.009676227,0.0005938952,0.001059922,0.005128746,0.0002313635,0.003766129,0.001581558,0.001147767,0.005489977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007164461,"about_ca_system_score_gemma":0.002616566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002495667,"about_ca_topic_score_gemma":0.001917776,"domain_scores_codex":[0.996365,0.0006380333,0.0008489559,0.0007243142,0.00129009,0.0001335131],"domain_scores_gemma":[0.9962683,0.001052923,0.000409854,0.001106375,0.000960022,0.000202524],"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":[0.0006097256,0.0004407566,0.01202624,0.001114891,0.0003624407,0.00124725,0.000706599,0.008654848,0.01641199,0.016568,0.07923127,0.862626],"study_design_scores_gemma":[0.0004280796,0.0005704307,0.0122066,0.0005419654,0.0006342228,0.004452658,0.00153055,0.314263,0.07592203,0.05573706,0.5334011,0.0003122413],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0431639,0.004612332,0.818916,0.003579794,0.0004730844,0.00210403,0.0285611,0.08228248,0.01630731],"genre_scores_gemma":[0.1610985,0.003147712,0.7939464,0.0006814464,0.0001975924,0.001145965,0.0307396,0.0007860182,0.008256668],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005090444,"threshold_uncertainty_score":0.01987505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05956760215626426,"score_gpt":0.2882674354092295,"score_spread":0.2286998332529653,"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."}}