{"id":"W4287604507","doi":"10.48550/arxiv.2011.03512","title":"Do We Need to Compensate for Motion Distortion and Doppler Effects in\\n Spinning Radar Navigation?","year":2020,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Christian Studies","funders":"","keywords":"Odometry; Radar; Computer science; Distortion (music); Computer vision; Radar imaging; Artificial intelligence; Doppler radar; Spinning; Radar engineering details; Remote sensing; Geography; Engineering; Telecommunications","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":[0.001881683,0.001001674,0.001374573,0.0005012789,0.0005399174,0.001165931,0.001453598,0.001639716,0.001821036],"category_scores_gemma":[0.01342917,0.0004325463,0.0005308398,0.0008995432,0.00101747,0.004186162,0.001039658,0.00163954,0.002377894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002981423,"about_ca_system_score_gemma":0.001084765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01035294,"about_ca_topic_score_gemma":0.01583228,"domain_scores_codex":[0.9991593,0.0001756126,0.00004776548,0.000300523,0.0001692596,0.0001475687],"domain_scores_gemma":[0.9975631,0.0006123245,0.0002896891,0.0007752986,0.0006505312,0.00010909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003456473,0.0001063736,0.03108356,0.0004768711,0.00022483,0.0001324235,0.0003154363,0.06239535,0.02433173,0.00885353,0.01602773,0.8557066],"study_design_scores_gemma":[0.0001781902,0.000479334,0.06330744,0.0004662916,0.000299188,0.001736422,0.001222721,0.7754501,0.03521764,0.04547676,0.07590456,0.0002613928],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.093584,0.005469329,0.8860496,0.007762986,0.001271883,0.00006009862,0.0006539159,0.001896363,0.003251813],"genre_scores_gemma":[0.6016502,0.004506362,0.3819967,0.002500214,0.00110885,0.0001074956,0.002436601,0.0005966024,0.005096914],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01035294,"threshold_uncertainty_score":0.02058536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04260156722942778,"score_gpt":0.1856373739836086,"score_spread":0.1430358067541808,"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."}}