{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002294882,0.001141762,0.001790439,0.001540844,0.0002682708,0.0003114327,0.002462746,0.0003621513,0.00003858066],"category_scores_gemma":[0.0000742695,0.001087835,0.0002635146,0.0005849463,0.0003363694,0.002089662,0.001607808,0.0007710808,0.0003344175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004371083,"about_ca_system_score_gemma":0.0004183157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001019827,"about_ca_topic_score_gemma":0.0002867323,"domain_scores_codex":[0.9917158,0.0002276523,0.002557578,0.002452893,0.002020444,0.001025615],"domain_scores_gemma":[0.9915089,0.0002384069,0.001548855,0.005936873,0.0003573251,0.0004096268],"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":[0.00002663196,0.0001150263,0.00001389309,0.00257284,0.0001334941,0.001017238,0.000210313,0.001558326,0.00004300503,0.9617162,0.02525352,0.007339547],"study_design_scores_gemma":[0.0007637364,0.00008422598,0.000009933643,0.005391791,0.00006925901,0.00009399086,0.0001767884,0.004508051,0.000008195134,0.0003982542,0.9873523,0.001143534],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00005405227,0.02225715,0.1499014,0.00006546877,0.01293143,0.004755778,0.01078674,0.0004786386,0.7987694],"genre_scores_gemma":[0.00149795,0.009047684,0.03334154,0.00006817938,0.001485867,0.0004891864,0.01122192,0.0002630007,0.9425847],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9620987,"threshold_uncertainty_score":0.9991572,"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."}}