{"id":"W4408325435","doi":"10.1109/globecom52923.2024.10901456","title":"An Enhanced Resource Selection Scheme for Efficient Intra-Platoon Message Delivery","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Platoon; Scheme (mathematics); Computer science; Selection (genetic algorithm); Resource (disambiguation); Distributed computing; Computer network; Artificial intelligence; Control (management); Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.00006657794,0.000128451,0.0001066123,0.0000862436,0.00004600573,0.00004962874,0.0001090954,0.0001244928,0.00003798201],"category_scores_gemma":[0.00002456767,0.0001179361,0.00003842832,0.0003024534,0.00002898741,0.0001078213,0.0000177885,0.0001839038,0.00003096739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000949887,"about_ca_system_score_gemma":0.000005679493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.471074e-7,"about_ca_topic_score_gemma":0.000003869255,"domain_scores_codex":[0.9992777,0.000004397605,0.0001382522,0.0002238036,0.00008119958,0.0002746492],"domain_scores_gemma":[0.9996784,0.0001010789,0.00000579613,0.0001516286,0.00002174844,0.00004135502],"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":[0.00001800035,0.00001893103,0.000002465285,0.000120552,0.00003609083,0.000002598511,0.0000549837,0.6913443,0.2079994,0.01532479,0.002925026,0.08215286],"study_design_scores_gemma":[0.00007649735,0.00006342979,0.000005564888,0.00003146117,0.000007573038,0.000002068839,0.00007100042,0.8279514,0.1575664,0.0006632662,0.01341352,0.0001478704],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.253328,0.0004747091,0.7378842,0.00003838612,0.0001540551,0.0002059785,0.000002994626,0.004952856,0.002958864],"genre_scores_gemma":[0.8492908,0.00002791028,0.1503147,0.00001941163,0.00008218951,0.00006168467,0.000008843987,0.00004118625,0.0001533153],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5959628,"threshold_uncertainty_score":0.4809297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006625752911185809,"score_gpt":0.2302536206397807,"score_spread":0.2236278677285949,"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."}}