{"id":"W2056191114","doi":"10.14778/1920841.1921016","title":"MEET DB2","year":2010,"lang":"en","type":"article","venue":"Proceedings of the VLDB Endowment","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"IBM (Canada)","funders":"","keywords":"Computer science; Database; XML; Data migration; Source code; Executable; Process (computing); Software engineering; Operating system","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":[0.003083777,0.002377898,0.0011659,0.002872161,0.001058103,0.006480924,0.004207209,0.001442951,0.1396513],"category_scores_gemma":[0.006819768,0.001697578,0.001320484,0.002621516,0.0005178995,0.005910335,0.004032254,0.002198118,0.1516332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001136408,"about_ca_system_score_gemma":0.00226338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005534131,"about_ca_topic_score_gemma":0.004671375,"domain_scores_codex":[0.9957939,0.0004776472,0.0003732986,0.0009765265,0.001977786,0.0004008],"domain_scores_gemma":[0.9954427,0.0006785772,0.0002704242,0.001490233,0.001559136,0.0005588511],"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":[0.001256625,0.0002004317,0.002638214,0.0007474605,0.0001276699,0.0002358264,0.000419012,0.001283275,0.006637703,0.01510907,0.8138116,0.1575332],"study_design_scores_gemma":[0.0001766417,0.0001104569,0.001770817,0.0000618389,0.00003121596,0.0003478802,0.0001568559,0.006681029,0.008200773,0.004795772,0.977591,0.00007569741],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.00828917,0.001141267,0.1059649,0.0009637795,0.0005765121,0.0007186031,0.08019769,0.6121009,0.1900473],"genre_scores_gemma":[0.05800818,0.001180106,0.1434657,0.002247561,0.0003769038,0.001243968,0.4454595,0.1777646,0.1702535],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.1396513,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004885213329562108,"score_gpt":0.2028989891894319,"score_spread":0.1980137758598698,"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."}}