{"id":"W2790172107","doi":"10.1109/netsoft.2018.8460108","title":"Extern Objects in P4: an ROHC Header Compression Scheme Case Study","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Computer science; Compiler; Network packet; Header; Latency (audio); Compile time; Pipeline (software); Scheme (mathematics); Vendor; Syntax; Programming language; Distributed computing; Computer network; Embedded system","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001528158,0.0005517161,0.0003017117,0.0004745602,0.000642553,0.001209657,0.001633808,0.001209915,0.004002313],"category_scores_gemma":[0.004274661,0.0003836683,0.0003879816,0.0006879682,0.001170356,0.002382143,0.001544882,0.001317979,0.0007209761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006898126,"about_ca_system_score_gemma":0.0007991571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002252719,"about_ca_topic_score_gemma":0.001674732,"domain_scores_codex":[0.9986809,0.0003383455,0.0001065751,0.000151828,0.0004875992,0.0002346847],"domain_scores_gemma":[0.9974101,0.001087652,0.0001650234,0.0008319961,0.0003914507,0.0001137396],"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":[0.005706883,0.002548844,0.04957405,0.002102742,0.0002187488,0.01521896,0.01066441,0.1033874,0.2110773,0.2059505,0.03155304,0.3619972],"study_design_scores_gemma":[0.0004720765,0.002037177,0.01356951,0.0002361434,0.0002635643,0.00502022,0.002285101,0.2824172,0.4348602,0.01873195,0.2399171,0.0001897154],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8003327,0.0002867935,0.1593056,0.0004497957,0.0001029369,0.0004767294,0.0005408333,0.01107017,0.02743445],"genre_scores_gemma":[0.8475684,0.0001945817,0.1350079,0.0002512301,0.00003118229,0.0002066663,0.0007696327,0.001799769,0.01417054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004002313,"threshold_uncertainty_score":0.01338905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06140952429704415,"score_gpt":0.3362951163706877,"score_spread":0.2748855920736435,"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."}}