{"id":"W2348869471","doi":"","title":"The Method for Data Accessing of SQL Sever with VC and ADO","year":2004,"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; SQL; Object (grammar); Code (set theory); Programming language; Database; Binary number; Artificial intelligence; Arithmetic; Set (abstract data type); Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003971328,0.00119791,0.001358901,0.002536303,0.00141181,0.004594241,0.002390155,0.001491882,0.01817257],"category_scores_gemma":[0.008558618,0.001047888,0.001264326,0.001570061,0.001951199,0.006375316,0.004530136,0.003017423,0.009227897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00101362,"about_ca_system_score_gemma":0.001742308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00152613,"about_ca_topic_score_gemma":0.0009350191,"domain_scores_codex":[0.9956427,0.0007561075,0.0006504523,0.000943512,0.001577782,0.0004295442],"domain_scores_gemma":[0.9954744,0.001484822,0.0002503543,0.001671118,0.0008647935,0.0002544577],"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":[0.0009557332,0.0002111159,0.004917059,0.00110812,0.0001155541,0.0006809208,0.001777812,0.0009006754,0.0233242,0.3808835,0.1066246,0.4785006],"study_design_scores_gemma":[0.0002019317,0.0001639313,0.001467276,0.0003064615,0.00007985222,0.002194092,0.0003341844,0.01892548,0.04581878,0.09896552,0.8313224,0.0002201698],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002081966,0.0002289736,0.9523674,0.0002409152,0.0004091436,0.0004214311,0.001067637,0.03156755,0.01161506],"genre_scores_gemma":[0.07486534,0.0007327091,0.8644453,0.001622557,0.0007298345,0.001985469,0.004949793,0.02131911,0.02934991],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01817257,"threshold_uncertainty_score":0.06079328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02766744989203488,"score_gpt":0.3489009107509558,"score_spread":0.3212334608589208,"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."}}