{"id":"W3013020082","doi":"10.1109/rcar47638.2019.9044006","title":"Multi-Sensor Fusion Localization of Indoor Mobile Robot","year":2019,"lang":"en","type":"article","venue":"","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Mobile robot; Computer science; Sensor fusion; Robot; Fusion; Computer vision; Artificial intelligence","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":[0.00004999548,0.00009468498,0.000137312,0.00007885766,0.00001623154,0.00001049603,0.00005683496,0.00008248838,0.000375607],"category_scores_gemma":[0.000008192732,0.00008676162,0.00003695062,0.0001740535,0.00001122708,0.00006443662,0.00001261952,0.00004695428,0.0001414843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002444319,"about_ca_system_score_gemma":0.000006786573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002479884,"about_ca_topic_score_gemma":0.000008763158,"domain_scores_codex":[0.9994184,0.00001272139,0.0002170878,0.000109425,0.0001221365,0.0001202768],"domain_scores_gemma":[0.9996679,0.00001999994,0.00002758829,0.000179312,0.0000680507,0.0000371393],"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":[0.000003488677,0.00002673859,0.004329333,0.00006769141,0.000007380373,3.601471e-7,0.00006945063,0.9351017,0.05923953,0.000126325,0.0001302786,0.0008977168],"study_design_scores_gemma":[0.0004013815,0.00004162859,0.0008702031,0.00002033595,0.00000575778,6.800036e-7,0.00007983944,0.9497253,0.04785403,0.00000634622,0.0008866813,0.0001078121],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.22007,0.00006311743,0.7774486,0.000005368041,0.000276422,0.0002955751,0.000003017963,0.0001626775,0.001675197],"genre_scores_gemma":[0.9908884,0.0000465913,0.008336249,0.00003221285,0.00001990455,0.000004855126,0.00003700631,0.00002839084,0.0006064558],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7708183,"threshold_uncertainty_score":0.4112633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008725907426754068,"score_gpt":0.2102485416845735,"score_spread":0.2015226342578195,"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."}}