{"id":"W4372259770","doi":"10.1109/icassp49357.2023.10095053","title":"Mcrood: Multi-Class Radar Out-Of-Distribution Detection","year":2023,"lang":"en","type":"article","venue":"","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Infineon Technologies (Canada)","funders":"","keywords":"Computer science; Artificial intelligence; Object detection; Detector; Radar; Computer vision; Pipeline (software); Doppler radar; Pattern recognition (psychology); 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008322413,0.00009929391,0.0001032939,0.00007086425,0.00003741934,0.00001424174,0.00007178053,0.00006987344,0.00001656313],"category_scores_gemma":[0.00005139388,0.0001038383,0.00005132365,0.0003374896,0.00001498688,0.0001232508,0.00002742399,0.00009183756,0.0003367916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001004217,"about_ca_system_score_gemma":0.000005970216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002706443,"about_ca_topic_score_gemma":0.00004914228,"domain_scores_codex":[0.9993987,0.00001040106,0.0001575993,0.0001095139,0.0001232287,0.0002005558],"domain_scores_gemma":[0.9997163,0.00004396287,0.00001739178,0.0001359841,0.00003967456,0.00004671283],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00000223404,0.000007441662,0.0003555408,0.00004496926,0.0000196334,0.000003781153,0.00004738494,0.001759433,0.9875512,0.00004434707,0.0004122176,0.009751829],"study_design_scores_gemma":[0.0002443551,0.00002189755,0.002610909,0.00001686727,0.000006988653,9.000358e-7,0.00009920182,0.007868554,0.9864074,0.00006316539,0.002529812,0.0001299398],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6301569,0.00007407559,0.3610853,0.00002301469,0.003791846,0.0002392777,0.00004575683,0.002351878,0.002231943],"genre_scores_gemma":[0.9988416,0.00001855943,0.0006997146,0.000001718876,0.0001400012,0.00001256347,0.00002574042,0.00002546214,0.0002346757],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3686846,"threshold_uncertainty_score":0.4328887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02439147744357398,"score_gpt":0.2429366730314279,"score_spread":0.2185451955878539,"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."}}