{"id":"W3090022602","doi":"10.1190/geo2020-0192.1","title":"Null-space shuttles for targeted uncertainty analysis in full-waveform inversion","year":2020,"lang":"en","type":"article","venue":"Geophysics","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Inversion (geology); Curse of dimensionality; Mathematical optimization; Uncertainty quantification; Uncertainty analysis; Mathematics; Computer science; Algorithm; Parameter space; Applied mathematics; Statistics; Geology","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":[0.003647966,0.0007725864,0.000728847,0.0007928869,0.0004676866,0.0009578628,0.001022626,0.0009714586,0.00204025],"category_scores_gemma":[0.009062169,0.0004148951,0.001020277,0.0003578755,0.001526243,0.001289348,0.001975875,0.001666121,0.0001840157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000757066,"about_ca_system_score_gemma":0.001196686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002263883,"about_ca_topic_score_gemma":0.001541896,"domain_scores_codex":[0.9993211,0.0002799835,0.00003637224,0.00005703741,0.0002557161,0.00004982018],"domain_scores_gemma":[0.9960446,0.002875846,0.0002542114,0.0003089696,0.0004308404,0.00008541276],"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":[0.0000511481,0.00003625076,0.000566544,0.00004859991,0.00001902547,0.00004791164,0.00004325766,0.9595723,0.003800886,0.02753248,0.0002101849,0.008071362],"study_design_scores_gemma":[0.000003361031,0.00001307973,0.00005785337,0.000004820721,0.000001433832,0.000005274106,0.000004804593,0.9948227,0.0008236659,0.004147559,0.0001113081,0.000004094592],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02717094,0.00006237287,0.9708602,0.0001255967,0.00001581558,0.00003618713,0.0000378759,0.0001982113,0.001492902],"genre_scores_gemma":[0.6275878,0.00007003303,0.3709853,0.0000980243,0.00001584398,0.0001816953,0.0001616906,0.0001926913,0.0007069337],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003647966,"threshold_uncertainty_score":0.01929253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01595630649372647,"score_gpt":0.2117673019543025,"score_spread":0.195810995460576,"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."}}