{"id":"W1916279149","doi":"10.1109/mikon.2002.1017863","title":"Performance evaluation of ESM deinterleaver using TOA analysis","year":2003,"lang":"en","type":"article","venue":"","topic":"Wireless Signal Modulation Classification","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Radar; Computer science; 3D radar; Radar tracker; Radar lock-on; Secondary surveillance radar; Radar configurations and types; Radar engineering details; Jitter; Man-portable radar; Continuous-wave radar; Remote sensing; Real-time computing; Radar imaging; Telecommunications; Geography","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":[0.002012621,0.0009480787,0.0009561204,0.001546112,0.0006016277,0.00128543,0.00090842,0.00102951,0.002407613],"category_scores_gemma":[0.01160752,0.0002088331,0.0003308383,0.0007481431,0.0002961677,0.00114097,0.0009891117,0.000569356,0.001005435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008387347,"about_ca_system_score_gemma":0.0006772223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00370494,"about_ca_topic_score_gemma":0.001976749,"domain_scores_codex":[0.9981765,0.0004074736,0.0001334266,0.0002842385,0.0007594329,0.0002390922],"domain_scores_gemma":[0.9944828,0.002785468,0.0003390909,0.0004924715,0.001692701,0.0002076411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.006261742,0.0005480298,0.01141247,0.0001991421,0.0003920181,0.0002081479,0.0002967905,0.2765031,0.04652757,0.002580434,0.002918435,0.652152],"study_design_scores_gemma":[0.0001120589,0.0006394439,0.002978768,0.00001230409,0.00007099543,0.0002124144,0.00007511552,0.9528841,0.04075308,0.0004612113,0.001769579,0.0000309812],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7108363,0.001101695,0.2712612,0.0003386562,0.0001677749,0.0001790464,0.0001982714,0.008579118,0.007337982],"genre_scores_gemma":[0.9231637,0.0002397458,0.07173195,0.0001352207,0.00004450418,0.00008143937,0.0004598499,0.0001605584,0.003983192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00370494,"threshold_uncertainty_score":0.0106439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08851737295926256,"score_gpt":0.3109243498251628,"score_spread":0.2224069768659003,"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."}}