{"id":"W2381289262","doi":"","title":"The Data Transaction between SQL Server Database and Oracle Database Based on ADO.NET","year":2009,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Database; Stored procedure; Database transaction; Data Transformation Services; Autocommit; Oracle; Oracle database; Database server; User-defined function; PL/SQL; SQL; Transaction log; Database tuning; Open Database Connectivity; View; Log shipping; Database design; Application server; Query by Example; World Wide Web; Internet Authentication Service; Programming language","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003125186,0.0002116427,0.0001473458,0.00008807842,0.0008922335,0.0003093442,0.002091851,0.00005314799,0.000002737145],"category_scores_gemma":[0.000001665386,0.0001773526,0.00003878422,0.0005618685,0.00008117645,0.0006756698,0.0003024109,0.0002411312,0.00004188001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004856359,"about_ca_system_score_gemma":0.00008654562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001137381,"about_ca_topic_score_gemma":0.000005687587,"domain_scores_codex":[0.9982411,0.00005176674,0.0003259589,0.0008482603,0.0002539434,0.0002790283],"domain_scores_gemma":[0.9970913,0.0003412635,0.0001277278,0.002205892,0.00009366193,0.0001401873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006485436,0.0001612463,0.00003104772,0.00001163294,0.000012905,0.000001333102,0.0000290981,0.0009642191,0.001216508,0.08485649,0.00540372,0.9073053],"study_design_scores_gemma":[0.0003400266,0.00006746336,0.002097295,0.00002588888,0.00001973509,0.00001078584,0.000003797261,0.2563547,0.001477181,0.01613299,0.7231659,0.0003042221],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001862101,0.0001081592,0.9889659,0.008971969,0.00001134049,0.0008600815,0.0002938558,0.0003742463,0.0002282056],"genre_scores_gemma":[0.07784615,0.00007202601,0.9179052,0.002465692,0.0001935074,0.0002701809,0.001180192,0.00001674646,0.00005035665],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9070011,"threshold_uncertainty_score":0.7232231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0306645083054455,"score_gpt":0.3082710779542796,"score_spread":0.2776065696488341,"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."}}