{"id":"W2396057003","doi":"","title":"Getting started with DB2 V10.5 BLU","year":2015,"lang":"en","type":"article","venue":"Computer Science and Software Engineering","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"IBM (Canada)","funders":"","keywords":"Computer science","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":[0.001209461,0.0001990518,0.0002000052,0.0002009217,0.0002125028,0.0007381043,0.001063519,0.0000394218,3.805447e-7],"category_scores_gemma":[0.0001589027,0.0001661944,0.0000218144,0.001147453,0.000106312,0.0009477544,0.0004939634,0.000151961,0.00001228019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007466204,"about_ca_system_score_gemma":0.0002799401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001467645,"about_ca_topic_score_gemma":7.808078e-7,"domain_scores_codex":[0.9980259,0.00002236412,0.0001997681,0.0005679002,0.0006618266,0.0005222379],"domain_scores_gemma":[0.998593,0.0001118989,0.00006161539,0.0004837788,0.0003633806,0.0003862663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001594441,0.0001390243,0.0234639,0.0002333987,0.00008752912,0.0004119384,0.01304451,0.7158645,0.0007467198,0.02791172,0.003524246,0.2145565],"study_design_scores_gemma":[0.0003620048,0.0001583275,0.004136633,0.000106373,0.000003060283,0.0001698104,0.00001600444,0.9898624,0.0001254749,0.00009248358,0.004610281,0.0003571211],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08986256,0.0001542211,0.9083691,0.0001052921,0.0006878038,0.00009839219,9.30982e-7,0.0006654181,0.00005632824],"genre_scores_gemma":[0.7148232,9.881611e-7,0.2848845,0.000120595,0.0001432805,0.000004104938,0.000001205495,0.00000845893,0.0000137225],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6249606,"threshold_uncertainty_score":0.7117557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01299886711427762,"score_gpt":0.1983620166100973,"score_spread":0.1853631494958196,"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."}}