{"id":"W2053534441","doi":"10.1121/1.2832619","title":"Joint time/frequency-domain inversion of reflection data for seabed geoacoustic profiles and uncertainties","year":2008,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Office of Naval Research; Natural Sciences and Engineering Research Council of Canada; University of Victoria","keywords":"Inversion (geology); Geology; Covariance; Reflection coefficient; Geodesy; Synthetic data; Frequency domain; Algorithm; Computer science; Statistics; Optics; Mathematics; Mathematical analysis; Seismology; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001108387,0.0005447081,0.0004579784,0.0006580307,0.0002875899,0.0007609581,0.0007727289,0.000383704,0.00102216],"category_scores_gemma":[0.004660645,0.0004066426,0.0007862332,0.0005365602,0.0004098553,0.001176518,0.0009693053,0.0008814806,0.0004321486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003420423,"about_ca_system_score_gemma":0.001563502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008228872,"about_ca_topic_score_gemma":0.01015086,"domain_scores_codex":[0.9995289,0.00008137619,0.00003048512,0.00009014252,0.0002154071,0.00005367283],"domain_scores_gemma":[0.999,0.0003743942,0.0001290122,0.0002040836,0.0002598109,0.00003267446],"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":[0.000181632,0.0001161938,0.006726205,0.00006148433,0.0001006154,0.00008688486,0.0002105093,0.7304288,0.04324742,0.01070255,0.000594151,0.2075436],"study_design_scores_gemma":[0.000009568908,0.00001682307,0.001067206,0.000004151444,0.00001112513,0.00002448982,0.00001903393,0.9890872,0.007197031,0.001969205,0.0005753006,0.00001879507],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03892985,0.00002181957,0.9598299,0.00003329834,0.00001028761,0.00001698944,0.00008273688,0.0003789919,0.0006961901],"genre_scores_gemma":[0.5324677,0.00007009962,0.4648069,0.00003277148,0.00002283931,0.0000684223,0.0006189725,0.0002724986,0.001639813],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008228872,"threshold_uncertainty_score":0.01636195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05382763322760415,"score_gpt":0.2752302048388343,"score_spread":0.2214025716112301,"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."}}