{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002157607,0.00009485729,0.0001164708,0.00003369404,0.00009876178,0.00003265675,0.0007621287,0.00002707734,0.000009794278],"category_scores_gemma":[0.00006919203,0.00005828209,0.00006074387,0.0001914009,0.00006343046,0.0004587642,0.000545493,0.0001096694,0.000008783582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001190885,"about_ca_system_score_gemma":0.00001853044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000297425,"about_ca_topic_score_gemma":0.000009718236,"domain_scores_codex":[0.9991719,0.000002035172,0.0001812957,0.0002043223,0.0002651181,0.000175355],"domain_scores_gemma":[0.9994137,0.00001626049,0.0001582884,0.0002486055,0.0001139574,0.00004921587],"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":[0.000001736103,0.00002106378,0.0006496258,0.0000217357,0.00000621752,1.452432e-7,0.000233546,9.04279e-7,0.1740255,0.8217029,0.001804018,0.001532616],"study_design_scores_gemma":[0.0003353493,0.0000535505,0.001514961,0.00006029967,0.000007826334,0.00003953421,0.0001278589,0.0004827611,0.7565119,0.01954368,0.2211232,0.0001990399],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7909763,0.0002892257,0.06152289,0.01053165,0.006275679,0.001719021,0.00004592818,0.0005929859,0.1280463],"genre_scores_gemma":[0.9255304,0.000006486333,0.07364973,0.0001424716,0.00009565694,0.00003390993,2.272355e-7,0.000006759061,0.0005343948],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8021592,"threshold_uncertainty_score":0.2376674,"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."}}