{"id":"W2919943383","doi":"10.1007/978-0-387-39940-9_1302","title":"Uncertainty Management in Scientific Database Systems","year":2009,"lang":"en","type":"book-chapter","venue":"Encyclopedia of Database Systems","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Database; Computer science; Data science","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":[0.003097078,0.0005693053,0.00106775,0.00112424,0.0008349434,0.005065729,0.001625842,0.001418849,0.005118855],"category_scores_gemma":[0.0103444,0.0005679384,0.0006130747,0.00277025,0.0015662,0.00530944,0.001744915,0.002502439,0.001439973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001368436,"about_ca_system_score_gemma":0.001370007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001599869,"about_ca_topic_score_gemma":0.00100756,"domain_scores_codex":[0.9971169,0.0008596229,0.0002140081,0.0002319148,0.001457796,0.0001197745],"domain_scores_gemma":[0.9955948,0.003107635,0.0001947674,0.0004760373,0.0005338131,0.00009293016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000689368,0.00006141842,0.0006463805,0.0005561695,0.00007500924,0.0002167064,0.0004557439,0.05349592,0.001091941,0.5751488,0.0327859,0.335397],"study_design_scores_gemma":[0.00001145845,0.00003045974,0.0003097149,0.0001391382,0.00002757683,0.0001822532,0.0001031521,0.1187366,0.0008601919,0.8131466,0.06642091,0.00003208096],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007630922,0.07832519,0.8570441,0.006982892,0.001126756,0.0001128369,0.000351264,0.0006429792,0.04778309],"genre_scores_gemma":[0.4891858,0.09186845,0.346451,0.002008922,0.007438151,0.0004231091,0.001437257,0.0004157549,0.06077157],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005118855,"threshold_uncertainty_score":0.01712424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01783444754774238,"score_gpt":0.2459365718365213,"score_spread":0.228102124288779,"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."}}