{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008367917,0.001120633,0.001063474,0.002093544,0.0008499338,0.006555478,0.001489376,0.00117635,0.07010029],"category_scores_gemma":[0.003047854,0.0009490476,0.000654433,0.003355782,0.002186346,0.009551227,0.001851405,0.002568018,0.02782634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001720455,"about_ca_system_score_gemma":0.0008798074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002498933,"about_ca_topic_score_gemma":0.00304825,"domain_scores_codex":[0.9992586,0.0001870581,0.00005479229,0.0001290171,0.0003278108,0.00004266345],"domain_scores_gemma":[0.9992434,0.0004524879,0.00002312985,0.0001101114,0.0001349396,0.00003597423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000241557,0.00003808279,0.00004830267,0.0003982604,0.00001128706,0.00005774406,0.0004633668,0.0004228439,0.001041923,0.493144,0.3610824,0.1432676],"study_design_scores_gemma":[0.000009708826,0.000005354262,0.00007072862,0.0001309803,0.000006733847,0.00008244588,0.00006637182,0.0008960214,0.0003168465,0.2224785,0.7759299,0.000006297465],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.001483131,0.05070357,0.234555,0.00732449,0.004146552,0.0001696887,0.001419065,0.004308583,0.6958899],"genre_scores_gemma":[0.02171971,0.02670489,0.08751617,0.00351281,0.002480058,0.0004610775,0.004229076,0.002169211,0.851207],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.07010029,"threshold_uncertainty_score":0.2345088,"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."}}