{"id":"W2896334535","doi":"10.1121/1.5067504","title":"Variability in surface reverberation observed with a high-frequency obstacle avoidance sonar","year":2018,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Reverberation; Sonar; Geology; Backscatter (email); Acoustics; Amplitude; Marine mammals and sonar; Rayleigh scattering; Rayleigh distribution; Scattering; Physics; Computer science; Optics; Telecommunications","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":[0.0003897981,0.0002360946,0.0002617767,0.0004572501,0.0001651224,0.0003068873,0.0002199024,0.0002371249,0.0005338801],"category_scores_gemma":[0.00139091,0.0001203715,0.0001874509,0.0003789355,0.0002139283,0.0001802583,0.0003019486,0.0002537665,0.0002963744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009664904,"about_ca_system_score_gemma":0.00008773226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006584994,"about_ca_topic_score_gemma":0.0008232943,"domain_scores_codex":[0.9996899,0.00005747183,0.00001652698,0.00007837029,0.0001060901,0.00005156775],"domain_scores_gemma":[0.9991648,0.0003782037,0.00008201295,0.0001005337,0.000213449,0.00006090188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001658493,0.000198998,0.26805,0.0001848898,0.000269878,0.001378512,0.001558092,0.01014356,0.6502914,0.0001933887,0.0006088416,0.06546398],"study_design_scores_gemma":[0.00002535077,0.001059857,0.9032975,0.0000111103,0.00008921114,0.001772949,0.0003769508,0.009737176,0.08256022,0.0001406643,0.0008884628,0.00004047755],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963964,0.0000403536,0.002676538,0.000006867171,0.000006687825,0.000004834987,0.00007953582,0.00005640456,0.000732565],"genre_scores_gemma":[0.9993223,0.00001410132,0.0003926025,0.000005246445,0.000004001266,0.000003448389,0.0001213113,0.00001288243,0.0001241022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006584994,"threshold_uncertainty_score":0.002061486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02328988795072288,"score_gpt":0.2415035508467044,"score_spread":0.2182136628959816,"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."}}