{"id":"W337685584","doi":"","title":"Overview of Experimental Pulse-Doppler Radar Data Collected Oct 1999","year":2000,"lang":"en","type":"article","venue":"Defense Technical Information Center (DTIC)","topic":"Radar Systems and Signal Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Clutter; Radar; Remote sensing; Secondary surveillance radar; Air traffic control radar beacon system; Radar lock-on; Computer science; Man-portable radar; Early-warning radar; Data set; Doppler radar; 3D radar; Continuous-wave radar; Radar imaging; Geography; Artificial intelligence; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001980163,0.0001835592,0.0002829317,0.0001055206,0.00006912625,0.00007834424,0.0003830371,0.0001162329,0.0009992158],"category_scores_gemma":[0.00002249121,0.0001696475,0.00006811095,0.0003214042,0.00004571574,0.001188482,0.00007754529,0.0001683951,0.0001816419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007771802,"about_ca_system_score_gemma":0.00002425041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003460109,"about_ca_topic_score_gemma":0.000005450117,"domain_scores_codex":[0.9984992,0.00002481721,0.0007772394,0.0001280113,0.0003221773,0.0002485203],"domain_scores_gemma":[0.9992103,0.00003101856,0.00008442505,0.0005360097,0.00004667019,0.00009158437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007426088,0.001241826,0.0008954649,0.004166733,0.0006920929,0.00005276943,0.004722543,0.004670285,0.06505142,0.00416728,0.7212732,0.1923237],"study_design_scores_gemma":[0.003774215,0.0002005255,0.002129395,0.0008774123,0.00006981742,0.0004400919,0.0003244561,0.1141359,0.02779588,0.00008314042,0.8490379,0.001131278],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.599859,0.01188771,0.02904328,0.000295298,0.001389425,0.002962828,0.002021283,0.00413185,0.3484093],"genre_scores_gemma":[0.9974534,0.0001434642,0.001639313,0.0001758154,0.00004009062,0.0000134823,0.0004557909,0.00002126883,0.00005736071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3975944,"threshold_uncertainty_score":0.999914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0435869438371365,"score_gpt":0.2725660723762124,"score_spread":0.2289791285390759,"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."}}