{"id":"W2128319345","doi":"10.1088/1742-6596/219/7/072058","title":"The ATLAS TAGS database distribution and management – Operational challenges of a multi-terabyte distributed database","year":2010,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"TRIUMF","funders":"","keywords":"Database; Computer science; Metadata; Upload; Terabyte; Relational database; Event (particle physics); Volume (thermodynamics); Data administration; Metadata management; Database catalog; Data management; Database testing; Resource (disambiguation); Database design; View; Database schema; Database model; World Wide Web; 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":[0.0006286111,0.0001593091,0.000241058,0.00002590895,0.0002473674,0.0003045526,0.0007955351,0.00003712214,0.000002108682],"category_scores_gemma":[0.00006499693,0.0001107015,0.00006543373,0.0001551086,0.0001893812,0.001042488,0.0003433001,0.0002812255,0.00000205476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001336541,"about_ca_system_score_gemma":0.0001210443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001020104,"about_ca_topic_score_gemma":0.00003078722,"domain_scores_codex":[0.9986477,0.00009956087,0.0004681219,0.0001978622,0.0003875257,0.0001991977],"domain_scores_gemma":[0.9982842,0.0001296774,0.0004866382,0.0004421343,0.000557868,0.00009949473],"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":[0.00004532052,0.0001592154,0.0001981899,0.0001228561,0.0001106555,0.00002382583,0.0004395801,0.0001108775,0.006836241,0.9508478,0.0006990428,0.0404064],"study_design_scores_gemma":[0.01406744,0.003013321,0.09713614,0.004150616,0.0005759289,0.00230845,0.005970961,0.247355,0.2310198,0.07305755,0.3175249,0.003819929],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03537635,0.000415248,0.9607823,0.001920809,0.0007389816,0.0001607504,0.0005159511,0.00002066647,0.0000688982],"genre_scores_gemma":[0.9895364,0.0008991963,0.009206655,0.00001104215,0.0001568804,0.000004770376,0.0001504444,0.000004806636,0.00002978947],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9541601,"threshold_uncertainty_score":0.4514275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03057013014995526,"score_gpt":0.2634726677621614,"score_spread":0.2329025376122061,"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."}}