{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005159907,0.0005206711,0.0005206418,0.0006289554,0.0003682081,0.001045506,0.00101262,0.0008016557,0.009040087],"category_scores_gemma":[0.001141958,0.0002568445,0.0003484571,0.0006083287,0.0005138872,0.001022036,0.001554095,0.0008024579,0.00509585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004601598,"about_ca_system_score_gemma":0.001501861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001398993,"about_ca_topic_score_gemma":0.002057902,"domain_scores_codex":[0.9995291,0.0000655831,0.00001877377,0.00009285137,0.0002498483,0.0000437614],"domain_scores_gemma":[0.9995953,0.0000817062,0.00008115398,0.00007228109,0.000120281,0.0000493178],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006961077,0.0001831775,0.003568909,0.001255804,0.0000860865,0.0009605942,0.0002154217,0.02924094,0.2017514,0.03216762,0.03419185,0.695682],"study_design_scores_gemma":[0.0002989637,0.00110824,0.006602737,0.0001967277,0.000168576,0.005101345,0.0001557747,0.3087966,0.2642401,0.00935778,0.4037206,0.0002526081],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0124995,0.002052384,0.9518999,0.000668111,0.0005353607,0.0001353706,0.0004297586,0.0130234,0.01875625],"genre_scores_gemma":[0.4068005,0.003439341,0.5038707,0.001325315,0.0004746513,0.0003272859,0.001336988,0.0008111289,0.08161415],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009040087,"threshold_uncertainty_score":0.03024209,"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."}}