{"id":"W2558931506","doi":"10.1121/1.4968203","title":"Geoacoustic inversion for the seabed transition layer using a Bernstein polynomial model","year":2016,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Inversion (geology); Parametrization (atmospheric modeling); Polynomial; Nonlinear system; Seabed; Geology; Mathematics; Mathematical analysis; Physics; Optics; Radiative transfer; Geomorphology","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":[0.00117557,0.0001311533,0.0002294362,0.00002300405,0.0004461429,0.00002934371,0.0007982233,0.00008351228,0.00013864],"category_scores_gemma":[0.0001832369,0.00004696864,0.0003898478,0.0001908959,0.0008344044,0.0001449464,0.00005274097,0.0003272226,0.000004726808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004109647,"about_ca_system_score_gemma":0.0002411564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003653748,"about_ca_topic_score_gemma":0.00001114724,"domain_scores_codex":[0.9982389,0.0001606426,0.0003703593,0.0001048575,0.0007618463,0.0003634578],"domain_scores_gemma":[0.9967964,0.00232483,0.0002791153,0.0002581799,0.0002343082,0.0001071472],"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":[0.0004292164,0.00002885825,0.0000865062,0.00003045607,0.0001276131,3.694432e-7,0.0007061246,0.8979357,0.08227611,2.835509e-7,0.006246134,0.01213263],"study_design_scores_gemma":[0.0005711212,0.0002090642,0.0003165377,0.00006104766,0.0003411243,0.0000278367,0.0008149577,0.9953952,0.001283481,0.0007666041,0.0001338917,0.00007911441],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04843131,0.0001114428,0.9413274,0.009587683,0.0001645887,0.0002470134,0.00009932524,0.000005341493,0.00002592685],"genre_scores_gemma":[0.969688,0.0002700627,0.02866671,0.000976362,0.0002569288,3.710574e-7,7.648031e-7,0.000008023075,0.0001327919],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9212567,"threshold_uncertainty_score":0.3431416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04045315595341072,"score_gpt":0.2681978891037944,"score_spread":0.2277447331503837,"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."}}