{"id":"W2167974132","doi":"10.1007/978-3-540-39964-3_6","title":"A Distributed Rule Mechanism for Multidatabase Systems","year":2003,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; University of Toronto","funders":"","keywords":"Computer science; Distributed computing; Mechanism (biology); Active database; Distributed database; Distributed Computing Environment; Exception handling; Database; Data mining; Programming language","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009299824,0.0006846981,0.0007801371,0.0005216052,0.000425205,0.000405966,0.001977305,0.0003022649,0.000005740116],"category_scores_gemma":[0.0002361362,0.0006108331,0.0001745482,0.00047304,0.000380695,0.001037632,0.0009051395,0.0004985216,0.00002953501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000349622,"about_ca_system_score_gemma":0.0004116613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006198107,"about_ca_topic_score_gemma":0.00005865717,"domain_scores_codex":[0.9955559,0.00004421042,0.0007391694,0.001911918,0.0008493564,0.0008993992],"domain_scores_gemma":[0.9961389,0.0005104177,0.00045535,0.002098165,0.0005379512,0.0002591597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007768083,0.00003028787,0.000003303384,0.000187606,0.00001758192,0.00008125079,0.0001376301,0.01087248,0.0003181407,0.9610329,0.0002107747,0.02710033],"study_design_scores_gemma":[0.001000928,0.0002630867,0.000003555204,0.001160794,0.00002101295,0.0002432667,0.000001027344,0.7581221,0.00449104,0.156904,0.07602267,0.001766445],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000007977569,0.0005426432,0.9927481,0.0002860317,0.003943521,0.001212635,0.0006633112,0.0002253578,0.0003704397],"genre_scores_gemma":[0.00358359,0.00004713072,0.9937288,0.0009674468,0.000486087,0.0001368849,0.000182277,0.00006675192,0.0008010333],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8041288,"threshold_uncertainty_score":0.9996343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01861544854655215,"score_gpt":0.2492530429148795,"score_spread":0.2306375943683273,"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."}}