{"id":"W2133343243","doi":"10.14778/1920841.1921042","title":"QUICK","year":2010,"lang":"en","type":"article","venue":"Proceedings of the VLDB Endowment","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Numbering; Computer science; Schema (genetic algorithms); Information retrieval; Semantic Web; World Wide Web; Linked data; Programming language","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":[0.000200133,0.00007666295,0.00009868673,0.00003386173,0.00006924759,0.00006048465,0.001373176,0.00003417208,0.00001010855],"category_scores_gemma":[0.00009957433,0.00004554366,0.000064695,0.0001662538,0.00006677637,0.0001946469,0.0004717649,0.0001333809,0.00001458923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008927243,"about_ca_system_score_gemma":0.00001829271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003277772,"about_ca_topic_score_gemma":0.000006123437,"domain_scores_codex":[0.9992889,0.000001566555,0.0001385482,0.0001696865,0.0002302878,0.0001710259],"domain_scores_gemma":[0.9995577,0.00002381858,0.0001075348,0.0001892866,0.00008830224,0.00003337641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000003569781,0.0000706005,0.01333008,0.00003118729,0.00001576407,3.220559e-7,0.0007638464,6.849874e-7,0.2706835,0.6991968,0.005107727,0.01079591],"study_design_scores_gemma":[0.0003682778,0.00006970299,0.03361017,0.00002902934,0.00001174726,0.00003479708,0.0001642621,0.0008317136,0.8891436,0.05886644,0.01669959,0.0001706876],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9455228,0.00006457438,0.0007418125,0.008290952,0.001491919,0.000267698,5.474615e-7,0.0001631685,0.04345652],"genre_scores_gemma":[0.9839432,0.000006153672,0.01544311,0.0002095536,0.00005318236,0.00001199007,2.671373e-8,0.000003203276,0.0003295895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6403304,"threshold_uncertainty_score":0.2551726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008614527310647397,"score_gpt":0.2160867094041712,"score_spread":0.2074721820935237,"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."}}