{"id":"W4388985085","doi":"10.1007/978-3-031-45043-3","title":"Natural Language Interfaces to Databases","year":2023,"lang":"en","type":"book","venue":"Synthesis lectures on data management","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Database; Natural (archaeology); Computer science; Linguistics; History; Archaeology; Philosophy","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","open_science","insufficient_payload"],"consensus_categories":["open_science"],"category_scores_codex":[0.0004735902,0.0005076221,0.0004989476,0.0006178315,0.0001279892,0.0004553036,0.008397172,0.00009418264,0.00007403432],"category_scores_gemma":[0.0005063678,0.0004029076,0.00008315835,0.0002593526,0.00005203805,0.0003597251,0.008309438,0.0003256528,0.002212176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001346289,"about_ca_system_score_gemma":0.00005960299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005680819,"about_ca_topic_score_gemma":0.0004374255,"domain_scores_codex":[0.9966924,0.00009040689,0.0003343695,0.001631377,0.0007345049,0.0005169809],"domain_scores_gemma":[0.9930728,0.0008324212,0.0001448495,0.005832413,0.00002346108,0.00009402158],"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":[0.00001510023,0.00002445815,6.342612e-7,0.0001839528,0.0002825371,0.0003810611,0.0001204244,0.00002607455,0.000008920328,0.01387304,0.7546642,0.2304196],"study_design_scores_gemma":[0.0001219958,0.00006926161,0.0002591326,0.001180897,0.0001816975,0.000007763015,0.0001530492,0.001120896,0.001157998,0.001454016,0.9933084,0.000984853],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001365517,0.008742666,0.1153587,0.01519638,0.01156837,0.003893568,0.003376245,0.005830473,0.8358971],"genre_scores_gemma":[0.004713649,0.0006056516,0.03197396,0.004225875,0.000562695,0.0001653812,0.001376989,0.0001325996,0.9562432],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2386443,"threshold_uncertainty_score":0.9998423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05939884682807921,"score_gpt":0.3151872066011007,"score_spread":0.2557883597730215,"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."}}