{"id":"W1985477699","doi":"10.1109/ntms.2012.6208708","title":"Cross Layer MAC and PHY Architecture for Collision Correction of DSRC Safety Messages","year":2012,"lang":"en","type":"article","venue":"","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Dedicated short-range communications; PHY; Computer science; Computer network; Network packet; Cache; Physical layer; Reliability (semiconductor); Collision; Layer (electronics); Wireless; Computer security; Telecommunications","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":[0.002600588,0.0008342977,0.0004799451,0.001240071,0.0005632771,0.00137148,0.001483451,0.0008438239,0.0025432],"category_scores_gemma":[0.003079646,0.0005762692,0.0005320327,0.0003657052,0.0007145678,0.001386959,0.001129793,0.001749147,0.001087272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008900418,"about_ca_system_score_gemma":0.001067851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001280842,"about_ca_topic_score_gemma":0.001001719,"domain_scores_codex":[0.9982821,0.0003390776,0.0001664156,0.000245661,0.0007967324,0.0001700515],"domain_scores_gemma":[0.9973264,0.0004251784,0.0002533484,0.0006049225,0.00128637,0.000103704],"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":[0.0009304847,0.0004417891,0.007655554,0.0008300362,0.0005295006,0.001042962,0.0008944408,0.1102855,0.2277122,0.2534375,0.01321719,0.3830229],"study_design_scores_gemma":[0.0001158891,0.0007700794,0.00395014,0.00009622436,0.0003554639,0.001609484,0.00008306046,0.7946227,0.0970204,0.01585837,0.08537646,0.0001416911],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009296962,0.0006149804,0.9841883,0.0001982104,0.0002957554,0.0001301172,0.00002950495,0.001859997,0.003386176],"genre_scores_gemma":[0.5071747,0.000963264,0.4758833,0.0008235774,0.0005160396,0.0004251667,0.0002072607,0.0002558186,0.01375092],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002600588,"threshold_uncertainty_score":0.01375341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01785614760265993,"score_gpt":0.2979466257251323,"score_spread":0.2800904781224723,"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."}}