{"id":"W3206768813","doi":"10.1109/icra48506.2021.9561481","title":"Asynchronous Multi-View SLAM","year":2021,"lang":"en","type":"article","venue":"","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Toronto","funders":"","keywords":"Asynchronous communication; Simultaneous localization and mapping; Computer science; Computer vision; Artificial intelligence; Tracking (education); Robot; Mobile robot; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00001948447,0.00005610264,0.00006861792,0.0000142219,0.00001863307,0.0000214718,0.0000273669,0.00003345222,0.0004190362],"category_scores_gemma":[0.00001051992,0.00005465457,0.00002522959,0.00008935905,0.000004709104,0.00002746819,0.000007062248,0.0000382819,0.00016728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000204722,"about_ca_system_score_gemma":0.00001047624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004354419,"about_ca_topic_score_gemma":0.00003324797,"domain_scores_codex":[0.9996886,0.000007043025,0.00008659457,0.00007097189,0.00004883264,0.00009791748],"domain_scores_gemma":[0.9998046,0.000009468745,0.00000385175,0.0001167242,0.00003228734,0.00003311826],"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":[2.751244e-7,0.00002635313,0.000182539,0.00006197832,0.00002009906,0.00003146117,0.00004876879,0.9724905,0.00366997,0.006184279,0.001474637,0.01580916],"study_design_scores_gemma":[0.0001682198,0.000004790802,0.0004848523,0.00001180289,0.000006123886,0.000006382634,0.00002251077,0.9731737,0.01314286,0.00004541499,0.01282496,0.000108418],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006258229,0.0007671281,0.9732754,0.00007449002,0.0002731966,0.00003953264,0.00000116048,0.0002564783,0.01905438],"genre_scores_gemma":[0.9571928,0.0003705314,0.0406945,0.0002232093,0.00006899348,0.000003103111,0.00003238947,0.0000308895,0.001383593],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9509345,"threshold_uncertainty_score":0.4588153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01328181290502844,"score_gpt":0.2117525479479058,"score_spread":0.1984707350428773,"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."}}