{"id":"W2360441084","doi":"","title":"The programming optimization of NDIS access","year":2004,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Embedded Systems and FPGA Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Network packet; Computer science; Transfer (computing); Computer network; Real-time computing; Operating system","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":[0.0003508755,0.000438292,0.0003226607,0.0002502116,0.0002434013,0.0006405587,0.0004810849,0.0001774002,0.003587676],"category_scores_gemma":[0.001487716,0.0002101077,0.0001822413,0.0002376185,0.0002343967,0.0005705291,0.0005034308,0.0004205716,0.0002563489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007224146,"about_ca_system_score_gemma":0.0008690982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002626975,"about_ca_topic_score_gemma":0.0033257,"domain_scores_codex":[0.9997136,0.00005772769,0.00001004091,0.00004876434,0.00009945584,0.00007038606],"domain_scores_gemma":[0.999585,0.0002158115,0.00004654108,0.00002881556,0.00009592582,0.00002794936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002976205,0.0001254106,0.00240753,0.0001336045,0.00002289257,0.0001058645,0.0001156465,0.8196065,0.01728465,0.02770386,0.002854144,0.1293422],"study_design_scores_gemma":[0.00001048691,0.00003777643,0.0001948636,0.000003543169,0.000004912424,0.00001856953,0.00001459641,0.9901992,0.005485395,0.002721713,0.001305835,0.000003028859],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1307053,0.0001875899,0.8429826,0.0003787258,0.00004450673,0.00009085592,0.0001510976,0.0009230902,0.02453611],"genre_scores_gemma":[0.79289,0.0001395009,0.1922665,0.00007113806,0.00002327669,0.0001294413,0.0001354119,0.0002651522,0.0140797],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003587676,"threshold_uncertainty_score":0.01200193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009270910137882631,"score_gpt":0.2329906521058378,"score_spread":0.2237197419679552,"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."}}