{"id":"W2048138820","doi":"10.1109/tits.2014.2310771","title":"Challenges Toward Wireless Communications for High-Speed Railway","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Intelligent Transportation Systems","topic":"Power Line Communications and Noise","field":"Engineering","cited_by":486,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Fundamental Research Funds for the Central Universities; State Key Laboratory of Rail Traffic Control and Safety; National Natural Science Foundation of China","keywords":"Wireless; Engineering; Key (lock); Maglev; Channel (broadcasting); Telecommunications; Computer science; Computer network; Computer security; 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":[0.001054305,0.0004741966,0.0002984705,0.0004700457,0.0006129441,0.002338076,0.0008280894,0.003278076,0.003894582],"category_scores_gemma":[0.001853033,0.0002523106,0.0003236521,0.0008668533,0.001262413,0.004511379,0.000962966,0.002643612,0.001830954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007139665,"about_ca_system_score_gemma":0.0008668235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001055093,"about_ca_topic_score_gemma":0.0009294208,"domain_scores_codex":[0.9994666,0.0001285155,0.00002224618,0.00006893993,0.0002565612,0.00005712313],"domain_scores_gemma":[0.9987092,0.000597209,0.0001110594,0.00007703116,0.0004323375,0.00007321289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007306298,0.00009744504,0.002154237,0.001223691,0.00005906943,0.000786795,0.0006292974,0.02703263,0.01656856,0.5463504,0.07056806,0.3344567],"study_design_scores_gemma":[0.00001866328,0.0002211439,0.001476044,0.0008202111,0.00005403026,0.001701632,0.001648191,0.09357145,0.003954235,0.2380626,0.6583826,0.00008918028],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.0314167,0.2792502,0.4429473,0.1311353,0.00809687,0.00007188954,0.0002377937,0.0004049338,0.106439],"genre_scores_gemma":[0.4163172,0.3839923,0.1144189,0.01409083,0.01492643,0.0001460234,0.0003070188,0.0001412248,0.05566024],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.003894582,"threshold_uncertainty_score":0.01302862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06447772942940215,"score_gpt":0.2753646333383552,"score_spread":0.210886903908953,"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."}}