{"id":"W2965103467","doi":"10.1145/3335783.3335798","title":"Keep Your Host Language Object and Also Query it","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Relational database management system; Programming language; SQL; Query optimization; Relational database; Workflow; Interpreter; Language Integrated Query; Query language; Database; Query by Example; Information retrieval; Web search query; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011279,0.0000868095,0.0001216136,0.0000375612,0.00004225513,0.00004878157,0.0001632636,0.0000261568,0.0000699111],"category_scores_gemma":[0.00001575763,0.00006601952,0.00002184894,0.00009780978,0.00001817885,0.0006143811,0.0002272238,0.00005391771,0.0002837589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008357995,"about_ca_system_score_gemma":0.00002041575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003303918,"about_ca_topic_score_gemma":0.0001215784,"domain_scores_codex":[0.9993302,0.00002080855,0.0001100957,0.0002594823,0.0001151513,0.000164231],"domain_scores_gemma":[0.999398,0.00003282676,0.00003516199,0.0004582963,0.00001964425,0.00005608799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000161467,0.00005812198,0.01193056,0.0002157413,0.00005191734,0.0001424515,0.008483185,0.0000405283,0.04893983,0.8745604,0.007735828,0.04782528],"study_design_scores_gemma":[0.002829163,0.0006724328,0.03283572,0.0004416388,0.00001789665,0.0005388053,0.01472007,0.02541978,0.04890278,0.001498032,0.8697087,0.002414962],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1618866,0.0008753571,0.7973071,0.000792228,0.0005020307,0.0002364273,0.00001509599,0.0002503016,0.03813484],"genre_scores_gemma":[0.9110397,0.00003341051,0.06968804,0.001352681,0.00009469272,0.000008199302,0.000005361516,0.00001105559,0.01776685],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8730624,"threshold_uncertainty_score":0.3647242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01004859196346422,"score_gpt":0.2554523304904228,"score_spread":0.2454037385269585,"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."}}