{"id":"W2078894693","doi":"10.1016/s1054-3139(03)00055-9","title":"Extraction and comparison of acoustic backscatter from a calibrated multi- and single-beam sonar","year":2003,"lang":"en","type":"article","venue":"ICES Journal of Marine Science","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick; Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"Division of Ocean Sciences","keywords":"Sonar; Echo sounding; Backscatter (email); Target strength; Beam (structure); Calibration; Acoustics; Beam diameter; Geology; Beam pattern; Transducer; Remote sensing; Optics; Environmental science; Physics; Computer science; Telecommunications; Fish <Actinopterygii>","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":[0.0004271374,0.0002738083,0.0003171358,0.0008706814,0.000108129,0.0002640344,0.0002987788,0.0003001656,0.0006658298],"category_scores_gemma":[0.0008808165,0.0002220102,0.0002364487,0.0005632468,0.0001461535,0.0002933812,0.0003404841,0.0001513958,0.0002882578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001887985,"about_ca_system_score_gemma":0.0001533078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008901835,"about_ca_topic_score_gemma":0.001610515,"domain_scores_codex":[0.9996921,0.00004459567,0.0000170913,0.00008472493,0.0001378854,0.00002373195],"domain_scores_gemma":[0.9996207,0.00008340504,0.00006002819,0.0000503152,0.0001681438,0.00001742979],"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":[0.0004671885,0.00006852059,0.06401954,0.0001819249,0.0001151015,0.00009046408,0.0002197648,0.01372942,0.7931144,0.0002498966,0.0003584336,0.1273855],"study_design_scores_gemma":[0.00005624258,0.0006612848,0.4598133,0.00004795823,0.0001672813,0.0006389463,0.0002530194,0.1096899,0.426362,0.0003060192,0.001930713,0.00007335947],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9654156,0.0001738005,0.03305523,0.00001300821,0.00001439596,0.00002055761,0.0003066302,0.0002088812,0.0007919614],"genre_scores_gemma":[0.968878,0.00008515496,0.03031055,0.0000189415,0.000006624779,0.00001944702,0.0003769193,0.00002678102,0.0002775891],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008901835,"threshold_uncertainty_score":0.002258956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0472796368307888,"score_gpt":0.303213065750787,"score_spread":0.2559334289199983,"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."}}