{"id":"W2129084475","doi":"10.1145/1385269.1385283","title":"A case study in database reliability","year":2008,"lang":"en","type":"article","venue":"","topic":"Software Reliability and Analysis Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; IBM (Canada)","funders":"","keywords":"Reliability (semiconductor); Computer science; Database; Reputation; Work (physics); Engineering","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":[0.001177682,0.00008363833,0.0001605776,0.000166098,0.0001309995,0.00004090979,0.0005898267,0.00002659337,0.00006248261],"category_scores_gemma":[0.0004460233,0.00006667656,0.00005149278,0.001194011,0.0000658343,0.000479955,0.0004704395,0.0001918985,0.00008184659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005665465,"about_ca_system_score_gemma":0.0001188365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005615276,"about_ca_topic_score_gemma":0.001055546,"domain_scores_codex":[0.9983418,0.0002630658,0.000254075,0.0005157119,0.0003764062,0.0002489678],"domain_scores_gemma":[0.998194,0.0003456801,0.00001821469,0.001247945,0.00008591551,0.0001082936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006471914,0.002544272,0.9478431,0.00001263641,0.00001097727,0.03856364,0.002962575,0.0002109435,0.00001909805,0.0004681212,0.0004159801,0.006942161],"study_design_scores_gemma":[0.005811396,0.001532246,0.2810702,0.00003044134,0.0000231487,0.02606304,0.007747533,0.6694892,0.00086344,0.003499456,0.002227823,0.001642088],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9281249,0.0000147861,0.07079487,0.0002152619,0.00002559425,0.0002393576,6.810241e-7,0.0001183475,0.0004662273],"genre_scores_gemma":[0.9884691,0.000008968454,0.01120877,0.00005819821,0.00001027756,0.0000250143,5.692591e-7,0.000002549805,0.0002165646],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6692783,"threshold_uncertainty_score":0.8488655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0734899394576537,"score_gpt":0.3357681851769771,"score_spread":0.2622782457193234,"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."}}