{"id":"W4327808488","doi":"10.1109/tmc.2023.3258750","title":"Optimal Random Access Strategies for Trigger-Based Multiple-Packet Reception Channels","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Mobile Computing","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Notation; Network packet; Channel (broadcasting); Computer science; Algorithm; Discrete mathematics; Mathematics; Arithmetic; Computer network","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"],"consensus_categories":[],"category_scores_codex":[0.0004125175,0.0002432532,0.0002907843,0.0004150895,0.0003313097,0.0002329683,0.000450463,0.0001526085,0.00003003944],"category_scores_gemma":[0.000009927544,0.0002783534,0.0001943737,0.000643972,0.00005012398,0.0003436813,0.000003945635,0.0003329347,0.00003256736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001039947,"about_ca_system_score_gemma":0.00004136754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001448319,"about_ca_topic_score_gemma":0.00001524375,"domain_scores_codex":[0.9987056,0.00007908088,0.0004046039,0.0002695015,0.0001792387,0.0003619361],"domain_scores_gemma":[0.9983484,0.0009502477,0.00006637335,0.0004568433,0.0001080701,0.00007008071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006296533,0.0000560035,0.000002475514,0.00009589046,0.00003097951,6.641806e-7,0.0004072745,0.9646474,0.003805305,0.00001408867,0.0006811814,0.0301958],"study_design_scores_gemma":[0.001439175,0.00009110101,0.00001101368,0.0001119742,0.00001666612,0.000001321996,0.0002891747,0.9101689,0.0857812,0.00007796413,0.001747775,0.0002636755],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2104973,0.00003137568,0.7843393,0.00006833245,0.0005860895,0.0009697455,0.00004783229,0.003391851,0.00006811235],"genre_scores_gemma":[0.9916152,0.00009014407,0.007176468,0.00003425661,0.00007816301,0.0008482781,0.00005200492,0.00008161284,0.00002385702],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7811179,"threshold_uncertainty_score":0.9999669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04334691770578537,"score_gpt":0.3160208904025061,"score_spread":0.2726739726967208,"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."}}