{"id":"W2598745103","doi":"10.1109/joe.2017.2674106","title":"A Normal Mode Reverberation and Target Echo Model to Interpret Towed Array Data in the Target and Reverberation Experiments","year":2017,"lang":"en","type":"article","venue":"IEEE Journal of Oceanic Engineering","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada; Mount Allison University","funders":"Pennsylvania State University; Office of Naval Research; University of Washington","keywords":"Reverberation; Bathymetry; Acoustics; Geology; Scattering; Range (aeronautics); Echo (communications protocol); Sonar; Remote sensing; Computer science; Optics; Physics; Engineering; Oceanography","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":[],"consensus_categories":[],"category_scores_codex":[0.000841767,0.00009599554,0.0001368381,0.0001053677,0.0001204076,0.0003179446,0.0004956097,0.00003859888,0.00001464978],"category_scores_gemma":[0.0001685096,0.00007039732,0.0000134179,0.00003930888,0.00001769191,0.001079618,0.00003474383,0.0002396721,0.000001174945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001115803,"about_ca_system_score_gemma":0.00003892201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000652087,"about_ca_topic_score_gemma":0.00004695235,"domain_scores_codex":[0.9991097,0.00003354577,0.0002503218,0.0001373022,0.0002887205,0.0001804168],"domain_scores_gemma":[0.9994513,0.00006457711,0.00006805479,0.0002899826,0.00002824232,0.00009784539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006444223,0.00001290379,0.006337427,0.00002943883,0.00002260626,0.00002831974,0.003101968,0.9259434,0.06341539,0.000001845018,0.00051396,0.0005282902],"study_design_scores_gemma":[0.0002514482,0.00008188769,0.004750966,0.00006881142,0.000006311964,0.00006606846,0.00007098094,0.9871769,0.007263751,0.0001127013,0.00006225612,0.00008794911],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3389366,0.000261126,0.6598073,0.0003789549,0.0002070992,0.0001497521,0.00004454915,0.000004675866,0.0002099587],"genre_scores_gemma":[0.9196945,0.00009034784,0.08000281,0.00006131369,0.0001206984,3.097609e-7,0.000009733023,0.000004100917,0.00001616865],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5807579,"threshold_uncertainty_score":0.3065947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04296874579190983,"score_gpt":0.3030930073373793,"score_spread":0.2601242615454695,"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."}}