{"id":"W4313366879","doi":"10.1049/rsn2.12369","title":"Attention‐enhanced Alexnet for improved radar micro‐Doppler signature classification","year":2022,"lang":"en","type":"article","venue":"IET Radar Sonar & Navigation","topic":"Advanced SAR Imaging Techniques","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Engineering and Physical Sciences Research Council","keywords":"Computer science; Signature (topology); Radar; Overhead (engineering); Salient; Doppler radar; Sensitivity (control systems); Artificial intelligence; Convolution (computer science); Convolutional neural network; Artificial neural network; Pattern recognition (psychology); Class (philosophy); Mechanism (biology); Data mining; Electronic 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004169986,0.0009682605,0.0005610216,0.0005317997,0.0002417707,0.0005466741,0.001098061,0.0006374023,0.003337903],"category_scores_gemma":[0.0008116377,0.0002289878,0.0003851262,0.0004607398,0.0002970432,0.0009404469,0.0007681887,0.000947045,0.0008956374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007275569,"about_ca_system_score_gemma":0.000804266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009385614,"about_ca_topic_score_gemma":0.009858975,"domain_scores_codex":[0.999838,0.00001620233,0.000005939555,0.00003961401,0.00005311876,0.00004698783],"domain_scores_gemma":[0.9998117,0.00004603505,0.00002457266,0.00002993927,0.00006563029,0.0000221627],"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":[0.0005214934,0.0002983297,0.002305059,0.0001941467,0.0001261642,0.0002744302,0.00008377431,0.4053215,0.07730547,0.006592097,0.01453321,0.4924444],"study_design_scores_gemma":[0.000004709967,0.00002718312,0.0003341961,0.000004645572,0.000009750067,0.00001838529,0.000005205697,0.9879891,0.009760893,0.00106789,0.0007734049,0.000004660282],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2912309,0.001599937,0.6815578,0.001261743,0.0005989634,0.0001093734,0.0009022501,0.01253516,0.0102039],"genre_scores_gemma":[0.8937282,0.0003610969,0.09646758,0.0002912334,0.00009436876,0.00004897478,0.001047706,0.0002128102,0.007747997],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009385614,"threshold_uncertainty_score":0.01866198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01111944643798102,"score_gpt":0.2507833532381117,"score_spread":0.2396639068001307,"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."}}