{"id":"W1992288820","doi":"10.1121/1.4830789","title":"Improving direction-sensing by multibeam sonar","year":2013,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Beamforming; Sonar; Amplitude; Acoustics; Flatness (cosmology); Sensitivity (control systems); Interferometry; Calibration; Computer science; Remote sensing; Geology; Distortion (music); Optics; Electronic engineering; Telecommunications; Physics; Amplifier; Engineering; Bandwidth (computing)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0008776489,0.001025043,0.0006339242,0.0009612766,0.0002052156,0.0007563669,0.0006822434,0.001017765,0.002390609],"category_scores_gemma":[0.001876402,0.0006804535,0.0004850992,0.0007553642,0.0003652361,0.00247069,0.002369147,0.0006319489,0.00146171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002008913,"about_ca_system_score_gemma":0.0002931111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006756365,"about_ca_topic_score_gemma":0.00199538,"domain_scores_codex":[0.9991826,0.0001642943,0.000041689,0.0001790907,0.0003559154,0.00007635746],"domain_scores_gemma":[0.9991707,0.0003506938,0.000071453,0.0001499711,0.0002303223,0.000026821],"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":[0.0002191788,0.0001315083,0.003011854,0.0002095196,0.00007294038,0.00008204647,0.0001685217,0.0300432,0.5204604,0.00486123,0.001628148,0.4391114],"study_design_scores_gemma":[0.0001016802,0.0009900723,0.0122367,0.000117981,0.0001572656,0.001009135,0.0001558932,0.6082149,0.3493879,0.007322638,0.02012041,0.0001853194],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0734212,0.003093094,0.9146881,0.0002758388,0.0002251343,0.00007046892,0.0001363609,0.001458867,0.006630943],"genre_scores_gemma":[0.2358585,0.002362712,0.7576337,0.000371426,0.0001587266,0.00008165352,0.0002551724,0.0001443804,0.003133777],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002390609,"threshold_uncertainty_score":0.007997453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01161076238847374,"score_gpt":0.2292379965107344,"score_spread":0.2176272341222607,"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."}}