{"id":"W3090242756","doi":"10.1109/icra40945.2020.9197275","title":"A Flexible Method for Performance Evaluation of Robot Localization","year":2020,"lang":"en","type":"article","venue":"","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Simultaneous localization and mapping; Benchmark (surveying); Artificial intelligence; Robot; Computer science; Mobile robot; Computer vision; Robotics; RGB color model; Motion (physics); Geography","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":[0.007322079,0.002653052,0.001332193,0.0037282,0.0006460653,0.001786469,0.001862146,0.001720091,0.003089361],"category_scores_gemma":[0.03279898,0.0004142821,0.0008734106,0.003482936,0.001218606,0.001894896,0.002463282,0.001667203,0.001683294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009477088,"about_ca_system_score_gemma":0.0009087758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002247975,"about_ca_topic_score_gemma":0.001947903,"domain_scores_codex":[0.9894075,0.002983813,0.0008367134,0.001470327,0.004889412,0.0004123757],"domain_scores_gemma":[0.9833242,0.006782015,0.002103559,0.004216204,0.003303129,0.0002708962],"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":[0.0008545392,0.0005390272,0.01021634,0.0009953619,0.0004925256,0.0002268823,0.0002780003,0.3594438,0.04906255,0.01297603,0.01070463,0.5542104],"study_design_scores_gemma":[0.0000761179,0.0009008516,0.007705917,0.00007707519,0.00006175066,0.0004800332,0.00009837509,0.941887,0.0370013,0.005112549,0.006452303,0.0001465691],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01499894,0.0003281348,0.9763406,0.00008474765,0.000105825,0.0002354532,0.0006553805,0.004591259,0.002659719],"genre_scores_gemma":[0.4940995,0.0003141869,0.4975201,0.0001445317,0.0001166426,0.001304744,0.002693562,0.001208443,0.002598444],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007322079,"threshold_uncertainty_score":0.03872329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06297735164697894,"score_gpt":0.2976443273717732,"score_spread":0.2346669757247943,"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."}}