{"id":"W2008619006","doi":"10.1145/1080754.1080761","title":"Assignment of dynamic transmission range based on estimation of vehicle density","year":2005,"lang":"en","type":"article","venue":"","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":139,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Vehicular ad hoc network; Computer science; Range (aeronautics); Wireless ad hoc network; Cell Transmission Model; Transmission (telecommunications); Vehicle dynamics; Topology (electrical circuits); Network topology; Power (physics); Computer network; Telecommunications; Engineering; Automotive engineering; Transport engineering; Traffic congestion; Wireless; Electrical engineering","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":[0.000805943,0.0006421675,0.0008213765,0.001840289,0.0006254575,0.000962214,0.001553521,0.0004772471,0.0009225316],"category_scores_gemma":[0.007030465,0.00043524,0.0002619997,0.0009445578,0.0005430461,0.001405082,0.001169489,0.0005641868,0.0005842065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004791262,"about_ca_system_score_gemma":0.0006675047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002152609,"about_ca_topic_score_gemma":0.001935178,"domain_scores_codex":[0.9988439,0.0003282975,0.00006987725,0.0003189187,0.0003255591,0.0001133961],"domain_scores_gemma":[0.997264,0.001085171,0.0003985591,0.0003456862,0.0007775336,0.0001290531],"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":[0.0002733087,0.0001671979,0.008411415,0.0001525006,0.00008495161,0.0002516443,0.0004713972,0.4174833,0.0288955,0.01300645,0.002793606,0.5280087],"study_design_scores_gemma":[0.00004062037,0.0001491762,0.002116113,0.00002558561,0.00004452013,0.0004595037,0.0001067129,0.9741858,0.01338931,0.004217494,0.005197775,0.00006734749],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02525685,0.0003569681,0.9696782,0.00008519596,0.00005368637,0.00007933491,0.00002842305,0.00086195,0.003599336],"genre_scores_gemma":[0.7528454,0.0003690723,0.2443999,0.00007058157,0.00009206827,0.0001717197,0.0001644657,0.000141949,0.001744831],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002152609,"threshold_uncertainty_score":0.00428021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004370098425422218,"score_gpt":0.2011080495825575,"score_spread":0.1967379511571353,"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."}}