{"id":"W2347297972","doi":"","title":"Sonar Echo Simulation of Underwater Target","year":2011,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sonar; Underwater; Computer science; Reverberation; Acoustics; Echo (communications protocol); Synthetic aperture sonar; Ball (mathematics); Marine engineering; Artificial intelligence; Geology; Physics; Engineering; Oceanography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001732672,0.0003557103,0.0004243766,0.0002429522,0.0002559881,0.0004596758,0.0006558772,0.0009410286,0.001539366],"category_scores_gemma":[0.0006411237,0.0002612463,0.0003690808,0.0003142905,0.0003180699,0.0006277613,0.0004220967,0.0004244614,0.0003454829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003012171,"about_ca_system_score_gemma":0.000370128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005337653,"about_ca_topic_score_gemma":0.001756502,"domain_scores_codex":[0.9998889,0.00002321424,0.000006207357,0.00001727945,0.00004293141,0.00002143618],"domain_scores_gemma":[0.9997701,0.00009209714,0.00002390747,0.00001693644,0.00007528975,0.00002161066],"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":[0.00002685518,0.0000115326,0.0003611021,0.00002197633,0.000007960733,0.0001178405,0.00005118975,0.9908869,0.00510023,0.001213874,0.0001185015,0.002081907],"study_design_scores_gemma":[0.000004286693,0.00001619005,0.0001063295,0.000001518926,0.000002313691,0.00002399208,0.00001081783,0.9986944,0.0008425386,0.0001540313,0.0001396454,0.000004056342],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5269786,0.0004504656,0.4520289,0.0002573438,0.00009339995,0.00006040576,0.0003128746,0.0008610862,0.01895701],"genre_scores_gemma":[0.9779409,0.0002596783,0.01485083,0.00003795337,0.00001146313,0.0000590816,0.0002324028,0.00006986748,0.006537932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005337653,"threshold_uncertainty_score":0.0106132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03952759971368544,"score_gpt":0.2540001557912471,"score_spread":0.2144725560775616,"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."}}