{"id":"W4220762510","doi":"10.1093/gji/ggac119","title":"Application of an unbalanced optimal transport distance and a mixed L1/Wasserstein distance to full waveform inversion","year":2022,"lang":"en","type":"article","venue":"Geophysical Journal International","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"Inversion (geology); Normalization (sociology); Algorithm; Applied mathematics; Computer science; Mathematical optimization; Mathematics; 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":[0.001254321,0.0006752608,0.0004175147,0.0006079936,0.0003486259,0.0007421263,0.0006552312,0.0008190016,0.00102697],"category_scores_gemma":[0.00294836,0.0002810567,0.0004585513,0.0004942196,0.0007076329,0.001650563,0.001272222,0.0007091688,0.0001737277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007784428,"about_ca_system_score_gemma":0.001033113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005687288,"about_ca_topic_score_gemma":0.003309677,"domain_scores_codex":[0.9996645,0.000120623,0.00002390237,0.00005745918,0.0001022218,0.00003112743],"domain_scores_gemma":[0.9994716,0.0002375242,0.00006239281,0.00005926429,0.0001317752,0.00003739927],"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":[0.00008487142,0.00003522007,0.0007450314,0.00004288406,0.00002336425,0.00009462495,0.00004915655,0.8683093,0.008208264,0.0715384,0.0008153894,0.05005353],"study_design_scores_gemma":[0.000001190517,0.00000584686,0.00003135893,7.966011e-7,7.605992e-7,0.00000619357,0.000001784233,0.9967949,0.0004694605,0.002564883,0.000120876,0.000002071194],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02231333,0.00005942706,0.9760089,0.0001348356,0.00001943143,0.00001205007,0.00002897711,0.0001228446,0.001300199],"genre_scores_gemma":[0.6127799,0.0001072993,0.3840569,0.00006810472,0.00003001285,0.00006524499,0.0001671733,0.0001260813,0.002599459],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005687288,"threshold_uncertainty_score":0.01130837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006120044940594535,"score_gpt":0.2144037029539637,"score_spread":0.2082836580133691,"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."}}