{"id":"W4388507408","doi":"10.1145/3628357.3629709","title":"MARS: a mmWave Rotating Synthetic Aperture Radar System for Indoor Imaging","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced SAR Imaging Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Synthetic aperture radar; Mars Exploration Program; Computer science; Inverse synthetic aperture radar; Radar imaging; Side looking airborne radar; Radar; Remote sensing; Acceleration; Back projection; Extremely high frequency; Computer vision; Artificial intelligence; Radar engineering details; Geology; Physics; 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":[0.0003749134,0.0005377819,0.0003750389,0.0003798708,0.0002170168,0.0004684508,0.0007491572,0.000516513,0.003187489],"category_scores_gemma":[0.0004134917,0.0001764622,0.0002850156,0.0003508921,0.0001822455,0.0006914317,0.0006663799,0.0006836245,0.00228943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001496046,"about_ca_system_score_gemma":0.0002240476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003734106,"about_ca_topic_score_gemma":0.0004935008,"domain_scores_codex":[0.9996991,0.00006786386,0.00001109883,0.00004955386,0.0001384885,0.00003396358],"domain_scores_gemma":[0.9997774,0.00002598234,0.00003455833,0.00006489315,0.00006279243,0.00003435473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008079621,0.0002149482,0.004363158,0.0004375189,0.0001665831,0.0006765567,0.000346,0.02491835,0.3462871,0.01049247,0.03721428,0.5740752],"study_design_scores_gemma":[0.0002447832,0.001882471,0.01315149,0.00008690322,0.0001833814,0.003765944,0.0002331064,0.3776484,0.2786952,0.00362625,0.3202734,0.0002086074],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0682203,0.001535118,0.9024917,0.0005953182,0.0003689074,0.0002041672,0.0007772951,0.01272284,0.0130844],"genre_scores_gemma":[0.3359453,0.0007543759,0.6503283,0.0004031894,0.0001704254,0.0001867517,0.002034093,0.000490263,0.00968738],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003187489,"threshold_uncertainty_score":0.01066315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008849525601823897,"score_gpt":0.2361528625443887,"score_spread":0.2273033369425648,"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."}}