{"id":"W4386099755","doi":"10.1007/s00778-023-00809-w","title":"xDBTagger: explainable natural language interface to databases using keyword mappings and schema graph","year":2023,"lang":"en","type":"article","venue":"The VLDB Journal","topic":"Topic Modeling","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Pipeline (software); Schema (genetic algorithms); SQL; Artificial intelligence; Natural language; Natural language processing; Information retrieval; Database; Programming language","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":[0.00186611,0.001950307,0.001282905,0.002087114,0.0005022247,0.002893189,0.002178641,0.001772592,0.05273085],"category_scores_gemma":[0.008149871,0.001375844,0.001692777,0.001541569,0.0005316115,0.004879174,0.004292386,0.001749335,0.01615648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001337876,"about_ca_system_score_gemma":0.001237869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00608518,"about_ca_topic_score_gemma":0.007210081,"domain_scores_codex":[0.9990284,0.000205286,0.0002020442,0.0002447077,0.0002470667,0.00007230552],"domain_scores_gemma":[0.9959968,0.002788664,0.0001810355,0.0005704593,0.0003294005,0.0001335926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002033277,0.0002794673,0.005830723,0.004546542,0.0004306799,0.001903059,0.003039053,0.01015416,0.02555507,0.07325511,0.6322871,0.2406858],"study_design_scores_gemma":[0.0008741671,0.0002113037,0.00235037,0.0009308772,0.0002588569,0.001212993,0.0006567467,0.1311364,0.04723177,0.07378408,0.7410727,0.0002797787],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.005418815,0.0003288142,0.4612887,0.0005597477,0.0002154512,0.0003428766,0.04904402,0.4773202,0.005481259],"genre_scores_gemma":[0.1250181,0.001405555,0.5453085,0.002568689,0.0001816705,0.002508972,0.1680543,0.13125,0.02370415],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.05273085,"threshold_uncertainty_score":0.1764023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04688202870401947,"score_gpt":0.311817887888365,"score_spread":0.2649358591843455,"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."}}