{"id":"W1546519248","doi":"10.1002/9780470069127.ch3","title":"Time–Frequency Analysis of Sea Clutter","year":2006,"lang":"en","type":"other","venue":"","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Queen's University","funders":"","keywords":"Spectrogram; Clutter; Frequency analysis; Radar; Spectral analysis; Computer science; Remote sensing; Geology; Acoustics; Speech recognition; Algorithm; Telecommunications; Physics","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":[0.0001241972,0.0003248676,0.0002354513,0.0009835515,0.0001782693,0.0005178277,0.000211417,0.0001964153,0.004188011],"category_scores_gemma":[0.0003808992,0.0001003252,0.0002264786,0.0009212954,0.0001611016,0.0005153281,0.0002165979,0.0002214071,0.0014591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001709187,"about_ca_system_score_gemma":0.0001547286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009877101,"about_ca_topic_score_gemma":0.0008186435,"domain_scores_codex":[0.9999015,0.000009303858,0.000004552758,0.00001984887,0.00005500394,0.000009835918],"domain_scores_gemma":[0.999871,0.00004865913,0.00001100055,0.00001273865,0.00005161286,0.000004957171],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009247129,0.00004980162,0.001245641,0.0003205036,0.00005201495,0.0001835887,0.0001556778,0.06040116,0.1915196,0.0456203,0.007760826,0.6925985],"study_design_scores_gemma":[0.0000157816,0.0001104749,0.02309332,0.0001834642,0.00009210363,0.001033612,0.0002664497,0.6479665,0.11131,0.08406557,0.1317617,0.0001010067],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.03957755,0.007755256,0.9193485,0.000263871,0.0002700201,0.00002499401,0.000469907,0.0007716535,0.03151817],"genre_scores_gemma":[0.3932039,0.02816392,0.4735931,0.0003487656,0.0008943022,0.00007380601,0.002902728,0.0009016098,0.09991788],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.004188011,"threshold_uncertainty_score":0.01401025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01344564439249979,"score_gpt":0.2381402881667516,"score_spread":0.2246946437742518,"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."}}