{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004180944,0.0005179802,0.0003036365,0.0003407287,0.0001597196,0.000470802,0.0008474915,0.0006369116,0.001303544],"category_scores_gemma":[0.001032769,0.0002482843,0.0004879029,0.0002745581,0.0002644349,0.000602815,0.0003610715,0.0006543504,0.0005230588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002717144,"about_ca_system_score_gemma":0.0005474224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007012513,"about_ca_topic_score_gemma":0.004603419,"domain_scores_codex":[0.9998909,0.00002461979,0.000008283327,0.00003144304,0.00003009687,0.00001479005],"domain_scores_gemma":[0.9997665,0.0000993933,0.00002757442,0.00003066308,0.00006148442,0.00001433446],"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":[0.00005886281,0.00004952904,0.001719189,0.00003092831,0.000018206,0.0001075107,0.00006404578,0.9622375,0.01286883,0.002221667,0.000286284,0.02033732],"study_design_scores_gemma":[0.000002371178,0.00001882099,0.000305829,0.000001040349,0.000002597496,0.00001401678,0.000005035583,0.9985184,0.0006416256,0.0003270064,0.000158783,0.000004471887],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09774759,0.00006985404,0.898526,0.00007804488,0.00003557989,0.00006768949,0.0002084112,0.0007621665,0.002504732],"genre_scores_gemma":[0.8046538,0.0002584777,0.184919,0.00008630862,0.0000359661,0.0002576513,0.0004039844,0.0001860497,0.009198622],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007012513,"threshold_uncertainty_score":0.01394337,"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."}}