{"id":"W2113442410","doi":"10.1109/oceans.1997.624174","title":"Principal components array processing for swath acoustic mapping","year":2002,"lang":"en","type":"article","venue":"","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Beamforming; Sonar; Synthetic aperture sonar; Bathymetry; Sonar signal processing; Backscatter (email); Principal component analysis; Decorrelation; Acoustics; Computer science; Signal-to-noise ratio (imaging); Noise (video); Reflector (photography); Signal processing; Transducer; Aperture (computer memory); Geology; Algorithm; Optics; Physics; Artificial intelligence; Radar; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002253328,0.0001159142,0.0001280232,0.0001090446,0.0002695271,0.0001598895,0.0002437997,0.00005071926,0.003355994],"category_scores_gemma":[0.00004200403,0.00008955938,0.00003906923,0.0001626241,0.00006137576,0.0001901576,0.00001056461,0.0001169546,0.0004817236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008328365,"about_ca_system_score_gemma":0.00001951887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001554369,"about_ca_topic_score_gemma":0.0002520737,"domain_scores_codex":[0.9986817,0.00002417188,0.0001820675,0.0002593269,0.0003411754,0.0005115342],"domain_scores_gemma":[0.999488,0.0001243616,0.00003501193,0.000127165,0.00006764789,0.0001578147],"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":[0.0001475616,0.0003939934,0.2514617,0.001481937,0.0001530111,0.0001066854,0.004688005,0.2842319,0.08155195,0.00002301673,0.008019075,0.3677412],"study_design_scores_gemma":[0.0003129653,0.00006371122,0.01194163,0.00002061622,0.000006920397,0.00001357364,0.0001145604,0.9816351,0.0005002578,0.0002102492,0.005020697,0.0001597398],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1067855,0.0001662159,0.8498193,0.0003459798,0.0001821633,0.0005719161,0.00004498616,0.0001459467,0.04193805],"genre_scores_gemma":[0.9673522,0.00001066725,0.02776982,0.0001398518,0.0001266003,0.000003471678,0.0000450042,0.000005542695,0.004546857],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8605667,"threshold_uncertainty_score":0.9975551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09130306339162596,"score_gpt":0.2666115719121172,"score_spread":0.1753085085204912,"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."}}