{"id":"W4416004483","doi":"10.1145/3731599.3767460","title":"SmartNIC Data Exchange Framework","year":2025,"lang":"","type":"article","venue":"","topic":"Network Packet Processing and Optimization","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Leverage (statistics); Data exchange; Variety (cybernetics); Field (mathematics); Context (archaeology); Big data; Interface (matter)","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","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0008289259,0.0002693119,0.0002762115,0.0001931563,0.0004665533,0.001215491,0.003912658,0.0002843153,0.000509161],"category_scores_gemma":[0.0002539488,0.0002632395,0.00004819653,0.002524605,0.0001157578,0.001270801,0.003329356,0.0004104991,0.000246731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000484557,"about_ca_system_score_gemma":0.0004713539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002186085,"about_ca_topic_score_gemma":0.00002250439,"domain_scores_codex":[0.997349,0.0001466306,0.0004322908,0.001208173,0.0003053374,0.000558594],"domain_scores_gemma":[0.9957191,0.0002674557,0.0001337463,0.003592258,0.0001664989,0.0001209788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009164472,0.0001240466,0.0004177197,0.0001818827,0.00005086195,0.000006185343,0.000372382,0.0009169552,9.424658e-7,0.0912827,0.1326039,0.7740332],"study_design_scores_gemma":[0.0001936565,0.00002892722,0.0001600133,0.0006145996,0.00004331162,0.00000206306,0.00002338726,0.8902179,0.00003300626,0.02184401,0.08657699,0.0002621573],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0000264755,0.01026071,0.9019541,0.007224659,0.003972335,0.0001684609,0.000005540189,0.0002459413,0.07614178],"genre_scores_gemma":[0.1649984,0.004756062,0.7154346,0.01016366,0.001077635,0.0000159738,0.00008643485,0.00003183163,0.1034354],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8893009,"threshold_uncertainty_score":0.999982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04544818903282006,"score_gpt":0.3242539326110232,"score_spread":0.2788057435782031,"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."}}