{"id":"W4412446444","doi":"10.1109/marss65887.2025.11072738","title":"RENAL: Robot Enhanced Navigation and Localization","year":2025,"lang":"en","type":"article","venue":"","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Robot; Computer vision; Mobile robot; Artificial intelligence; Mobile robot navigation; Robot control","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":[0.0000342695,0.00005999738,0.00006017417,0.00005425357,0.00003721158,0.0000292758,0.00002240556,0.00004754279,0.00001685617],"category_scores_gemma":[0.000008875983,0.00005936733,0.000009945149,0.0001826583,0.00001146612,0.00006021448,0.000006089297,0.00003251659,0.000005793193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002229227,"about_ca_system_score_gemma":0.000005001014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000862228,"about_ca_topic_score_gemma":0.000006389168,"domain_scores_codex":[0.999678,0.00000757372,0.0001119709,0.00008172706,0.00004840857,0.00007236766],"domain_scores_gemma":[0.9998505,0.00001415379,0.000007721394,0.00007410019,0.00003331322,0.00002026464],"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":[0.000001782167,0.000003878324,0.0001236284,0.00004347533,0.00000858142,2.849319e-7,0.00003574453,0.963302,0.0190834,0.009334088,0.0009469405,0.007116179],"study_design_scores_gemma":[0.0001492026,0.000006379798,0.0004269138,0.00004315827,0.000007818782,3.128827e-7,0.00001698999,0.9164754,0.0803289,0.0009762367,0.001499128,0.00006951526],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01568943,0.00009398046,0.9731364,0.00005160618,0.000125102,0.00007735658,4.294644e-7,0.0002033485,0.01062239],"genre_scores_gemma":[0.9974118,0.00006581241,0.001842537,0.0001052416,0.00001539484,0.000003989205,0.0000391183,0.000008822553,0.0005072911],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9817224,"threshold_uncertainty_score":0.242093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004831486541514165,"score_gpt":0.2111850728891352,"score_spread":0.2063535863476211,"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."}}