{"id":"W2541974074","doi":"10.1109/cns.1988.4979","title":"Ethernet with segmented carrier","year":2003,"lang":"en","type":"article","venue":"","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Ethernet; Computer science; Computer network; Collision; Local area network; Collision detection; Protocol (science); Throughput; ATA over Ethernet; Simple (philosophy); Multiple Access with Collision Avoidance for Wireless; Ethernet flow control; Routing protocol; Telecommunications; Computer security; Wireless","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":[0.000419273,0.0005011953,0.00034114,0.0006802907,0.0004301756,0.0008808757,0.000895445,0.0007030905,0.005139496],"category_scores_gemma":[0.0008904905,0.0001607246,0.0002272307,0.0007440831,0.0005096413,0.001979423,0.001270605,0.0006500057,0.000874426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005049488,"about_ca_system_score_gemma":0.0004221671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007579831,"about_ca_topic_score_gemma":0.0007782736,"domain_scores_codex":[0.9994855,0.0001092701,0.00002602409,0.00009031389,0.000200558,0.00008843101],"domain_scores_gemma":[0.9996638,0.00007050073,0.00002819226,0.0001032207,0.00009242644,0.00004178584],"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":[0.001440007,0.0002457452,0.001280264,0.000498221,0.00005824657,0.001188843,0.0005005942,0.03690386,0.1111513,0.4340076,0.01940296,0.3933224],"study_design_scores_gemma":[0.0003096682,0.002240696,0.002235524,0.0001578318,0.0001393859,0.003114599,0.0002545603,0.3833678,0.08910167,0.1106324,0.4083088,0.0001371095],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1348211,0.004934015,0.7831193,0.0009857659,0.001496652,0.0004014619,0.0003287178,0.004062013,0.06985096],"genre_scores_gemma":[0.6972172,0.001862134,0.2713521,0.0005451072,0.000532649,0.0002486767,0.0005520137,0.0001444089,0.02754572],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005139496,"threshold_uncertainty_score":0.01719332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01007889748521715,"score_gpt":0.2224532421885906,"score_spread":0.2123743447033734,"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."}}