{"id":"W2102216272","doi":"10.1109/tits.2010.2048562","title":"Intervehicle-Communication-Assisted Localization","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Intelligent Transportation Systems","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":130,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Global Positioning System; Multipath propagation; Computer science; Robustness (evolution); Hybrid positioning system; Real-time computing; Engineering; Positioning system; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001686097,0.000255253,0.0002286207,0.0003548418,0.0002147023,0.00009365847,0.0003037262,0.0002908926,0.000249114],"category_scores_gemma":[0.000004194443,0.0002625563,0.0001410221,0.0005487256,0.00009566567,0.0002518202,2.3728e-7,0.0005167572,0.0001773152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006761382,"about_ca_system_score_gemma":0.00001915257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009710179,"about_ca_topic_score_gemma":0.0006254456,"domain_scores_codex":[0.9985086,0.00003748541,0.0006909235,0.0002383848,0.0002859927,0.000238641],"domain_scores_gemma":[0.9990363,0.0000802662,0.00007489829,0.0005302913,0.0001894356,0.00008882796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002975025,0.0001616496,0.0002529245,0.0001892115,0.0001313168,0.000004133474,0.001361754,0.9577698,0.007490468,0.005398824,0.0008604883,0.02634971],"study_design_scores_gemma":[0.0009348162,0.0001413279,0.001032787,0.0003086745,0.0001488955,0.00002804424,0.003010637,0.3920383,0.5681992,0.0003009634,0.03274421,0.001112175],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03675633,0.00009807076,0.957512,0.0000402439,0.002523982,0.0004190933,0.00008208318,0.001728857,0.0008393997],"genre_scores_gemma":[0.9986382,0.0001992859,0.0004537341,0.00003688582,0.00003294036,0.0002131485,0.00008512701,0.00006443333,0.000276235],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9618819,"threshold_uncertainty_score":0.9999827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01482038831124709,"score_gpt":0.2305082473332738,"score_spread":0.2156878590220267,"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."}}