{"id":"W2914861558","doi":"10.22215/etd/2018-13179","title":"Automatic Radar Modulation Classification","year":2018,"lang":"en","type":"dissertation","venue":"","topic":"Wireless Signal Modulation Classification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Radar; Computer science; Decision tree; Multilayer perceptron; Artificial intelligence; Modulation (music); Electronic warfare; Convolutional neural network; Artificial neural network; Feature extraction; Pattern recognition (psychology); Perceptron; Machine learning; Waveform; Electronic engineering; Engineering; 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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003549918,0.0003826591,0.0003326955,0.0004973233,0.0002518062,0.000389712,0.001197971,0.000490714,0.0004272742],"category_scores_gemma":[0.00009888487,0.0003863387,0.0001386382,0.0007842497,0.00003301641,0.001039295,0.00004611388,0.0002378014,0.001409736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002595768,"about_ca_system_score_gemma":0.0002805499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002042203,"about_ca_topic_score_gemma":0.00006809839,"domain_scores_codex":[0.9970078,0.0001239835,0.000767995,0.0009347036,0.0008563003,0.0003091418],"domain_scores_gemma":[0.9970628,0.0000882705,0.0007571133,0.001370284,0.0005991862,0.0001223338],"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":[0.00001180676,0.0001417677,0.00007237394,0.0001998477,0.00006360672,0.000001856678,0.001224367,0.00002497402,0.01959353,0.3030237,0.01033105,0.6653111],"study_design_scores_gemma":[0.0002050225,0.00005081958,0.08802634,0.00009912407,0.0000228451,0.000003287512,0.0001062933,0.8902555,0.004273865,0.01329288,0.003146412,0.0005176344],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07513674,0.0000715722,0.8512161,0.0008327613,0.003505135,0.001068627,0.000005177651,0.002062511,0.06610134],"genre_scores_gemma":[0.8751177,0.00001341871,0.1078773,0.00009865158,0.0003740378,0.0001374535,0.001443039,0.00005807173,0.01488037],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8902305,"threshold_uncertainty_score":0.9998589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03194027258525613,"score_gpt":0.2838094883248375,"score_spread":0.2518692157395814,"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."}}