{"id":"W2153257312","doi":"10.14778/1687553.1687599","title":"Linkage Query Writer","year":2009,"lang":"en","type":"article","venue":"Proceedings of the VLDB Endowment","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; SQL; Linkage (software); Interface (matter); Query language; Relational database; Linked data; Information retrieval; Process (computing); Programming language; Semantic Web","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":[],"consensus_categories":[],"category_scores_codex":[0.002614618,0.000121788,0.0002133985,0.0001302393,0.0001139781,0.0002352656,0.001681624,0.00003946076,0.0001776977],"category_scores_gemma":[0.0008320099,0.00006843438,0.000157766,0.000500398,0.00007421353,0.0004264672,0.0004456585,0.0001138684,0.0001467609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003447633,"about_ca_system_score_gemma":0.00001225606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001694957,"about_ca_topic_score_gemma":0.000002143011,"domain_scores_codex":[0.9974978,0.0000163715,0.0005678878,0.0003410137,0.001344131,0.0002327891],"domain_scores_gemma":[0.998924,0.0001032516,0.0003309851,0.0003562496,0.0002193549,0.00006612787],"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":[0.00007108119,0.0004986149,0.003190854,0.00004247603,0.00004835114,0.0000014295,0.002030385,0.00001288298,0.02293752,0.3614002,0.4590149,0.1507513],"study_design_scores_gemma":[0.0007251982,0.0002346121,0.03557197,0.0001058477,0.00004529116,0.000006450651,0.002255354,0.0001327587,0.06783639,0.370855,0.5219483,0.0002828039],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5258337,0.0003329384,0.0005984133,0.06014925,0.001165907,0.001379223,0.00005415627,0.0001466078,0.4103398],"genre_scores_gemma":[0.987714,0.00002847046,0.001129237,0.003099896,0.00008960261,0.00001019238,8.515854e-7,0.000004637972,0.00792313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4618803,"threshold_uncertainty_score":0.3124903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1069606726619127,"score_gpt":0.3767321906713896,"score_spread":0.269771518009477,"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."}}