{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001314065,0.000148629,0.0003656374,0.001067653,0.00001693403,0.00002511957,0.0003026581,0.0001815871,0.1781207],"category_scores_gemma":[0.000005671465,0.000108545,0.0001427214,0.0007634627,0.0001259572,0.00002320262,0.00001117241,0.0001187063,0.002317251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003322623,"about_ca_system_score_gemma":0.00004855264,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0771169,"about_ca_topic_score_gemma":0.09009378,"domain_scores_codex":[0.9987697,0.00005120691,0.0001869662,0.0002534348,0.0004689952,0.0002696973],"domain_scores_gemma":[0.9994441,0.00005988907,0.00007962439,0.0003134611,0.00002993893,0.00007300654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002224782,0.00001407773,0.1149919,0.00003681093,0.0009276394,0.00002004322,0.000007897888,0.004492083,0.00001307701,0.000001194787,0.8774165,0.002076583],"study_design_scores_gemma":[0.000383675,0.0001745697,0.07055178,0.00006170333,0.00285529,0.000004656978,0.00001611711,0.5784851,0.0001156304,0.0003921575,0.3458623,0.001097025],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001072565,0.0001818299,0.002460588,0.00002656791,0.00004146912,0.000106386,0.0008973038,0.00009734358,0.9960812],"genre_scores_gemma":[0.006578176,0.00002687287,0.005009956,0.00005966262,0.0001022004,3.250894e-7,0.001667643,0.00004731059,0.9865078],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.573993,"threshold_uncertainty_score":0.9984596,"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."}}