{"id":"W3147962482","doi":"10.48550/arxiv.2004.05237","title":"Application of an unbalanced optimal transport distance and a mixed L1/Wasserstein distance to full waveform inversion","year":2020,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematical optimization; Amplitude; Mathematics; Inversion (geology); Algorithm; Entropy (arrow of time); Applied mathematics; Computer science; Physics; 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":[0.001466769,0.0009921168,0.0006787954,0.001143527,0.0005013656,0.00105389,0.0009010973,0.001106642,0.001121297],"category_scores_gemma":[0.004446805,0.00037376,0.000692713,0.001227706,0.00096218,0.002469421,0.001952118,0.00112814,0.0003226798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008615489,"about_ca_system_score_gemma":0.001231821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002575178,"about_ca_topic_score_gemma":0.002320099,"domain_scores_codex":[0.9991762,0.0002494884,0.00006381713,0.0001827995,0.0002747096,0.00005297826],"domain_scores_gemma":[0.9991919,0.0002993135,0.00009908564,0.000105407,0.000244988,0.00005923567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002210034,0.0001024215,0.001470322,0.0001945832,0.00008793367,0.0002524309,0.0001769728,0.5807186,0.02853263,0.1453904,0.002577876,0.2402749],"study_design_scores_gemma":[0.000004035928,0.00002308485,0.00009475418,0.000003296769,0.000004468438,0.000038636,0.000007380381,0.9885424,0.002329832,0.008281689,0.0006599845,0.00001040063],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006401498,0.00008205752,0.992777,0.00008148661,0.00002325941,0.00001187452,0.00001696737,0.00006822207,0.0005376695],"genre_scores_gemma":[0.2229594,0.0002837374,0.7735232,0.00009639713,0.00007223972,0.000100757,0.0002197631,0.0001658685,0.002578683],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002575178,"threshold_uncertainty_score":0.007757068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02816814621722161,"score_gpt":0.1733851491652566,"score_spread":0.145217002948035,"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."}}