{"id":"W2508692987","doi":"","title":"Gradient representations in seabed geoacoustic inversion by Bernstein polynomials","year":2016,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Office of Naval Research; Natural Sciences and Engineering Research Council of Canada","keywords":"Inversion (geology); Seabed; Geology; Nonlinear system; Polynomial; Bernstein polynomial; Mathematics; Mathematical analysis; Seismology; Oceanography; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0007750043,0.0005078762,0.0002910419,0.0004255362,0.0001735516,0.0005789795,0.0005988948,0.0003966134,0.0009072709],"category_scores_gemma":[0.002207546,0.0003268574,0.0004172201,0.0006046137,0.0005077278,0.001061154,0.0007066345,0.0007165901,0.0003703601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005113159,"about_ca_system_score_gemma":0.0005870003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006088119,"about_ca_topic_score_gemma":0.005788424,"domain_scores_codex":[0.99976,0.00009353671,0.000009744155,0.00002822998,0.00007209293,0.00003643596],"domain_scores_gemma":[0.9997009,0.0001584951,0.00003343571,0.00002888739,0.00005932166,0.00001888325],"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":[0.00008854313,0.00002330754,0.000742688,0.00005573071,0.00001943286,0.00005809685,0.00009651422,0.8655401,0.02190582,0.0405421,0.0004607265,0.07046698],"study_design_scores_gemma":[0.000002983717,0.000009801965,0.0000851618,0.000002293099,0.00000139305,0.000009829326,0.000007360372,0.9948699,0.0009652172,0.003752715,0.0002872465,0.000005960668],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01926436,0.0000699979,0.9796795,0.00004461323,0.0000105738,0.00001368719,0.00002930577,0.0001021807,0.000785639],"genre_scores_gemma":[0.6242415,0.000472102,0.3722166,0.00006756904,0.00002855343,0.00009220482,0.0001633678,0.0001554851,0.002562555],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006088119,"threshold_uncertainty_score":0.01210535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01875078987446628,"score_gpt":0.2336067506947543,"score_spread":0.2148559608202881,"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."}}