{"id":"W4390837006","doi":"","title":"Mastering the Complexities of Human Detection and Tracking using Joint Communication Radar Systems","year":2023,"lang":"en","type":"report","venue":"","topic":"Radar Systems and Signal Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Joint (building); Computer science; Radar; Tracking (education); Radar systems; Radar detection; Tracking system; Remote sensing; Real-time computing; Artificial intelligence; Geography; Telecommunications; Engineering; Psychology; Kalman filter; Civil engineering","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":[0.0009620357,0.0002136308,0.0004776997,0.0001652831,0.0003011301,0.0001914649,0.0001403536,0.0001605169,0.000004412763],"category_scores_gemma":[0.00002251292,0.0001661635,0.00007018204,0.0001288629,0.00007104821,0.0001252883,0.00007172411,0.0003044253,8.64728e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001834745,"about_ca_system_score_gemma":0.00003889771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003785243,"about_ca_topic_score_gemma":0.0003326879,"domain_scores_codex":[0.9985302,0.00006955126,0.0007024901,0.0001421322,0.0003919067,0.0001637338],"domain_scores_gemma":[0.9991336,0.00007661263,0.0002730458,0.0003357991,0.0001547172,0.00002615539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001247021,0.0000306829,0.000339009,0.06895903,0.001621572,0.00002844488,0.008990205,0.1163281,0.7629395,0.001197641,0.001741732,0.0378116],"study_design_scores_gemma":[0.0006084279,0.0001216484,0.003568834,0.02306418,0.000523623,0.001165656,0.02309913,0.9141581,0.02032849,0.000748369,0.01069473,0.001918831],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6943901,0.06143562,0.09643836,0.00003362655,0.006641501,0.002440407,0.00007946417,0.002441745,0.1360992],"genre_scores_gemma":[0.9987053,0.0003236588,0.0001600386,7.885241e-7,0.0002409529,0.00001074904,0.000008004827,0.00008905443,0.0004614857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.79783,"threshold_uncertainty_score":0.6775951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2552245433182642,"score_gpt":0.323596555558214,"score_spread":0.06837201223994982,"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."}}