{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001284669,0.001415745,0.00139435,0.001953671,0.00040555,0.0008721075,0.001825625,0.001123993,0.003162496],"category_scores_gemma":[0.002214736,0.0003950534,0.0008875431,0.001096033,0.0003575606,0.0009777145,0.001550507,0.001327386,0.00255878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000426869,"about_ca_system_score_gemma":0.000982504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00270436,"about_ca_topic_score_gemma":0.005840199,"domain_scores_codex":[0.9989687,0.0001107816,0.00004135726,0.0002998877,0.0004140102,0.0001652806],"domain_scores_gemma":[0.9991714,0.0002763316,0.00009173799,0.0001740871,0.0002242897,0.00006228431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006328501,0.000411686,0.005987255,0.0002454726,0.0001820607,0.0002373881,0.00006612227,0.01328065,0.05120738,0.001930519,0.03038693,0.8954316],"study_design_scores_gemma":[0.0001156343,0.000289194,0.007725743,0.00005476214,0.0001035736,0.001188153,0.00009047386,0.8889012,0.06846437,0.00459036,0.02839484,0.00008167912],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03548865,0.002086901,0.9430649,0.0003593815,0.0004539925,0.0002066361,0.001469896,0.01300397,0.003865598],"genre_scores_gemma":[0.3523627,0.001205656,0.6207653,0.0009221239,0.0003359948,0.000299459,0.00909518,0.001013526,0.01400007],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003162496,"threshold_uncertainty_score":0.01057965,"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."}}