{"id":"W4206030027","doi":"10.1109/tmtt.2021.3136292","title":"Accelerated Holographic Imaging With Range Stacking for Linear Frequency Modulation Radar","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Microwave Theory and Techniques","topic":"Advanced SAR Imaging Techniques","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Fundamental Research Funds for the Central Universities","keywords":"Radar; Holography; Frequency modulation; Radar imaging; Computer science; Iterative reconstruction; Modulation (music); Image quality; Optics; Physics; Algorithm; Radio frequency; Acoustics; Computer vision; Image (mathematics); 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":[0.0003679743,0.0004519512,0.0003441545,0.0003713819,0.0001788079,0.0004979738,0.000571392,0.0004899958,0.001947902],"category_scores_gemma":[0.0006299585,0.0002001959,0.0003547716,0.0003837497,0.0004950348,0.0007366591,0.0005906004,0.000763429,0.0003904907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003331019,"about_ca_system_score_gemma":0.0004826482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005096253,"about_ca_topic_score_gemma":0.0008890523,"domain_scores_codex":[0.9998252,0.00004069369,0.00000663592,0.00001645366,0.00009708535,0.00001390646],"domain_scores_gemma":[0.9997991,0.00008073679,0.00003413681,0.00004325598,0.00003268872,0.00001020333],"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":[0.0001641059,0.00008955182,0.001295461,0.0004355494,0.00007101842,0.000372357,0.0002649047,0.1019597,0.2275691,0.1994039,0.004461613,0.4639128],"study_design_scores_gemma":[0.0000296661,0.0001684081,0.0007535694,0.00003671304,0.00002331419,0.0006686695,0.00004960789,0.8933434,0.06745322,0.02107236,0.01635768,0.00004345345],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006501411,0.0006309273,0.9892168,0.0001333029,0.00005835371,0.00005275027,0.00003450985,0.0002484826,0.003123439],"genre_scores_gemma":[0.1541636,0.001020648,0.8408889,0.0001561713,0.0000907587,0.00009614063,0.00009651701,0.00005360409,0.003433667],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001947902,"threshold_uncertainty_score":0.006516397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01364749244245672,"score_gpt":0.2530952627728222,"score_spread":0.2394477703303655,"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."}}