{"id":"W3202721334","doi":"10.1109/case49439.2021.9551623","title":"Model-based Quasi-static SLAM in Unstructured Dynamic Environments","year":2021,"lang":"en","type":"article","venue":"","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Simultaneous localization and mapping; Computer science; Arctic; Motion (physics); Work (physics); The arctic; Artificial intelligence; Computer vision; Simulation; Mobile robot; Robot; Engineering; Geology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0004042955,0.0005545782,0.0006356488,0.0003806414,0.0003924705,0.0007879189,0.0008244028,0.0004293666,0.0007472211],"category_scores_gemma":[0.00101739,0.0004413046,0.0005516404,0.000615495,0.0007085713,0.001239277,0.00134215,0.0005425921,0.0003875687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003998648,"about_ca_system_score_gemma":0.0009953282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007085994,"about_ca_topic_score_gemma":0.008866451,"domain_scores_codex":[0.999564,0.00009552014,0.00001648602,0.00006837821,0.0002030432,0.00005259014],"domain_scores_gemma":[0.9996378,0.0001002972,0.00005492711,0.00009353981,0.00009178493,0.00002164046],"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":[0.00007311496,0.00003563492,0.0006474635,0.00009044428,0.00005134125,0.0001073061,0.000133139,0.8930895,0.01462935,0.01352438,0.00128403,0.07633433],"study_design_scores_gemma":[0.0000072444,0.00005084544,0.0002573165,0.000004384437,0.00000599398,0.00004251299,0.00002421197,0.9921315,0.002031406,0.003914423,0.001521339,0.000008892691],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01091373,0.00009608753,0.9871514,0.00005978941,0.0000381864,0.0000102575,0.00002899702,0.0005166855,0.001185051],"genre_scores_gemma":[0.7791007,0.0003448293,0.2177338,0.00006960327,0.00004061914,0.00005442911,0.0002048202,0.000130614,0.002320623],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007085994,"threshold_uncertainty_score":0.01408952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007121756294300553,"score_gpt":0.2009143867583919,"score_spread":0.1937926304640913,"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."}}