{"id":"W4409768832","doi":"10.1121/10.0036386","title":"Seabed characterization using ambient sound for a range-dependent track in the New England Mud Patch","year":2025,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Office of Naval Research","keywords":"Seabed; Layering; Geology; Ambient noise level; Attenuation; Acoustics; Track (disk drive); Reflection (computer programming); Beamforming; Frequency band; Range (aeronautics); Sound (geography); Seismology; Oceanography; Materials science; Optics; Bandwidth (computing); Engineering","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":[0.0001004241,0.0001366125,0.0001854403,0.0005153352,0.0002699533,0.0003832456,0.0002337083,0.0001591595,0.0005978254],"category_scores_gemma":[0.0003085239,0.0001941495,0.0001370923,0.0005237687,0.0001663481,0.0002210521,0.0002509761,0.0001733425,0.0001851067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004399449,"about_ca_system_score_gemma":0.0002805489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1090459,"about_ca_topic_score_gemma":0.3634199,"domain_scores_codex":[0.9999198,0.0000068489,0.000004812598,0.00003030621,0.00002714417,0.00001117539],"domain_scores_gemma":[0.9998248,0.00002497674,0.00003017961,0.00001453133,0.00007865216,0.0000269267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003741385,0.00011645,0.8126246,0.00005467875,0.00007088728,0.001306091,0.001342359,0.005170513,0.1562237,0.00006651564,0.0002666966,0.02238342],"study_design_scores_gemma":[0.000009429271,0.0000639261,0.9901722,0.000004148098,0.00001569614,0.0001357572,0.000287395,0.006252658,0.00281321,0.000008637023,0.0002302985,0.000006633701],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992077,0.00001044432,0.000384542,0.000005413128,9.691552e-7,0.000003999579,0.0001137899,0.000007477793,0.0002657285],"genre_scores_gemma":[0.997872,0.00002641148,0.001182815,0.000006966537,0.000001553902,0.000007627238,0.0002485211,0.00000616378,0.000647873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1090459,"threshold_uncertainty_score":0.2168224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02651287337343436,"score_gpt":0.280296202363477,"score_spread":0.2537833289900426,"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."}}