{"id":"W7099345175","doi":"","title":"Multidatabase Querying by Context 1 University of Calgary 2000-663-15 University of Manitoba TR-00-16","year":2008,"lang":"en","type":"article","venue":"","topic":"SAS software applications and methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Query language; View; SQL; Query by Example; Relational database; Query optimization; Data definition language; RDF query language; Database schema; Semantics (computer science)","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":[0.002229264,0.0006088733,0.0007434517,0.00212499,0.001760526,0.006477888,0.001787502,0.0007626339,0.01332332],"category_scores_gemma":[0.003398845,0.0006811756,0.0005863578,0.00357799,0.001066574,0.005061115,0.004269686,0.001290323,0.003331822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005661272,"about_ca_system_score_gemma":0.005181145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07523821,"about_ca_topic_score_gemma":0.1394184,"domain_scores_codex":[0.9982382,0.000290004,0.0001585748,0.0006101886,0.000531751,0.0001711267],"domain_scores_gemma":[0.9977298,0.0005334071,0.0001520387,0.0006219615,0.0007186278,0.0002441371],"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":[0.0007347493,0.0002214646,0.03172277,0.0006361588,0.00007901085,0.001198741,0.006536186,0.009102662,0.04682932,0.3122001,0.07087917,0.5198597],"study_design_scores_gemma":[0.0001152116,0.0001327277,0.009482702,0.0006370582,0.0001038293,0.001150421,0.002257583,0.0591197,0.04161697,0.05355221,0.8316445,0.0001871289],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1195804,0.008627411,0.7011469,0.006282984,0.0004342649,0.0005003618,0.004046927,0.02889578,0.130485],"genre_scores_gemma":[0.3565218,0.004070698,0.5519102,0.001232628,0.0001847322,0.0002190249,0.004738478,0.002713311,0.07840897],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.07523821,"threshold_uncertainty_score":0.1496005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01868039567268393,"score_gpt":0.1999420516852686,"score_spread":0.1812616560125847,"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."}}