{"id":"W4409177797","doi":"10.1016/j.ultras.2025.107612","title":"One shot, one SoS: A real-time, single-shot global speed of sound estimator","year":2025,"lang":"en","type":"article","venue":"Ultrasonics","topic":"Flow Measurement and Analysis","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Research Institute for Aging; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Space Agency; E.W.R. Steacie Memorial Fund","keywords":"Shot (pellet); Single shot; One shot; Computer science; Speed of sound; Estimator; Sound (geography); Acoustics; Optics; Statistics; Mathematics; Physics; Engineering; Materials science; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001611869,0.000182524,0.0003883915,0.00009170513,0.00005054065,0.00004466374,0.0002068478,0.0001130643,0.0001842704],"category_scores_gemma":[0.0001236748,0.0002141792,0.0001479559,0.0006279486,0.0000482099,0.00008634915,0.00002140972,0.0001091443,0.00005700235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001852233,"about_ca_system_score_gemma":0.00004660876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000465814,"about_ca_topic_score_gemma":0.00006601043,"domain_scores_codex":[0.9988132,0.00001876885,0.0003533918,0.0002001141,0.0003099589,0.0003046391],"domain_scores_gemma":[0.9993833,0.00007158961,0.00004734467,0.0003347164,0.00008911696,0.00007392272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006183692,0.0007202484,0.01206295,0.0006400415,0.001709469,0.000007089511,0.0001929218,0.05475769,0.9168438,0.003426262,0.003943054,0.005634586],"study_design_scores_gemma":[0.005225078,0.0003490456,0.02679987,0.002049397,0.003668091,0.000009820501,0.0004635344,0.6533691,0.2929675,0.007253394,0.005288498,0.002556717],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8729324,0.00097359,0.007289281,0.0001458597,0.0002885237,0.0002322154,0.00008715894,0.0005162307,0.1175347],"genre_scores_gemma":[0.9946522,0.0001317071,0.004705661,0.00002608931,0.00005408607,0.000002784224,0.00003671159,0.00002199973,0.0003687304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6238764,"threshold_uncertainty_score":0.8733976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0421222783747149,"score_gpt":0.256431164211726,"score_spread":0.2143088858370111,"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."}}