{"id":"W1979327806","doi":"10.1121/1.2942972","title":"Accuracy enhancement of underwater target detection with time-frequency analysis techniques","year":2007,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada; University of Calgary","funders":"","keywords":"Underwater; Computer science; Interference (communication); Acoustics; Noise (video); Signature (topology); Sonar; Sonar signal processing; Underwater acoustic communication; Signal processing; Artificial intelligence; Physics; Telecommunications; Mathematics; Geology; Radar; Channel (broadcasting)","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":[0.000809666,0.0004132322,0.0004826254,0.0007797616,0.0001368113,0.0005135816,0.0004835144,0.0005277845,0.0005591806],"category_scores_gemma":[0.006377627,0.0002267375,0.0002241764,0.0005798455,0.0002259689,0.0009549573,0.0005054006,0.0004163746,0.0003892161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002440787,"about_ca_system_score_gemma":0.0002474092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007256136,"about_ca_topic_score_gemma":0.0004989379,"domain_scores_codex":[0.99903,0.0001573251,0.00004217092,0.0001412229,0.0005766596,0.00005265044],"domain_scores_gemma":[0.9974648,0.001427181,0.0002579594,0.0002152486,0.0006077915,0.00002714441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005121828,0.00007682095,0.004128718,0.0001964813,0.00006724127,0.0001337784,0.0001948521,0.03838393,0.3193198,0.001649725,0.0005863607,0.6347501],"study_design_scores_gemma":[0.00003770287,0.0003063272,0.008506168,0.0000283431,0.00008293703,0.000652649,0.00005583566,0.7405869,0.2456776,0.0009260972,0.003099091,0.00004048069],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1445632,0.0004916423,0.852103,0.0001013386,0.00006585432,0.00002177975,0.00003220816,0.0009604376,0.001660583],"genre_scores_gemma":[0.6916009,0.0005425686,0.3060753,0.00005594257,0.00005248537,0.00002965536,0.00009775744,0.00009120167,0.001454232],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.000809666,"threshold_uncertainty_score":0.004281998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0115013555572607,"score_gpt":0.256842492272976,"score_spread":0.2453411367157153,"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."}}