{"id":"W4400277044","doi":"10.1109/wcnc57260.2024.10570842","title":"Formation and Assertion of Data Unit Groups in 3GPP Networks with TSN and PDU Set Support","year":2024,"lang":"en","type":"article","venue":"","topic":"IPv6, Mobility, Handover, Networks, Security","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"InterDigital (Canada)","funders":"European Commission","keywords":"Assertion; Computer science; Set (abstract data type); Unit (ring theory); Programming language; Psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009150848,0.0004505419,0.0004521023,0.0009853119,0.001372665,0.004441629,0.001171728,0.0009457095,0.001002769],"category_scores_gemma":[0.00998143,0.0005041141,0.0005242911,0.0005823722,0.002974625,0.002923007,0.002645964,0.001610709,0.0005934114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001307299,"about_ca_system_score_gemma":0.002818896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003929778,"about_ca_topic_score_gemma":0.002543397,"domain_scores_codex":[0.9924554,0.002610311,0.0012279,0.0008033074,0.002327959,0.0005750267],"domain_scores_gemma":[0.9926835,0.001704086,0.001031677,0.003081553,0.001203939,0.0002952535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000698473,0.0001987281,0.008228654,0.0002851335,0.000088474,0.002128541,0.005359629,0.03308234,0.03771495,0.7516803,0.008812537,0.1517222],"study_design_scores_gemma":[0.0002029949,0.0009449761,0.004399487,0.000470333,0.0002508457,0.001501869,0.002135691,0.2493774,0.148267,0.2452744,0.3469177,0.0002573368],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06766018,0.0002967341,0.9061341,0.0005474744,0.00034014,0.0009019434,0.0003279748,0.003056813,0.02073465],"genre_scores_gemma":[0.7472143,0.0003600686,0.2405324,0.0005644199,0.0001827811,0.00100739,0.0008635983,0.0003786518,0.008896486],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009150848,"threshold_uncertainty_score":0.04839486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02282408298385947,"score_gpt":0.2461367599436018,"score_spread":0.2233126769597423,"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."}}