{"id":"W4210351797","doi":"10.1109/rasse53195.2021.9686815","title":"A Survey of Natural Language Processing Implementation for Data Query Systems","year":2021,"lang":"en","type":"article","venue":"","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan College; Langara College","funders":"Natural Sciences and Engineering Research Council of Canada; Harris","keywords":"Computer science; Online analytical processing; SQL; Data warehouse; Online transaction processing; Database; Big data; Implementation; Information retrieval; Query by Example; Data mining; Transaction processing; Web search query; Programming language; Search engine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.007073728,0.001668348,0.00135524,0.005275778,0.0009100717,0.0053343,0.006568003,0.002193386,0.01470051],"category_scores_gemma":[0.0184815,0.002267553,0.002097078,0.009324894,0.001194866,0.00860263,0.001812543,0.003633366,0.009130969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002547576,"about_ca_system_score_gemma":0.004272596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005017397,"about_ca_topic_score_gemma":0.002490662,"domain_scores_codex":[0.9894944,0.001899546,0.001746641,0.001103964,0.005318652,0.0004368014],"domain_scores_gemma":[0.9875171,0.006560594,0.0004240913,0.001620952,0.003732993,0.0001442499],"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":[0.0002857356,0.0002986648,0.001552214,0.008044486,0.0001313418,0.000349648,0.0009729871,0.005833053,0.01423678,0.05685449,0.04653751,0.864903],"study_design_scores_gemma":[0.0001449538,0.000350284,0.002542814,0.00370617,0.0001601386,0.001993702,0.0006489317,0.06085144,0.03116986,0.0315578,0.8666162,0.0002577217],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.008510764,0.05518402,0.8789044,0.002555319,0.0004108707,0.001056424,0.003260725,0.01961252,0.03050498],"genre_scores_gemma":[0.02975249,0.05687724,0.8803891,0.002225736,0.0002308473,0.001196584,0.01160768,0.005581367,0.01213902],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01470051,"threshold_uncertainty_score":0.04917806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06996851954237338,"score_gpt":0.3820479352539826,"score_spread":0.3120794157116092,"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."}}