{"id":"W3110972461","doi":"10.1093/gji/ggaa583","title":"Accelerating full waveform inversion through Adaptive Gradient Optimization methods and Dynamic Simultaneous Sources","year":2020,"lang":"en","type":"article","venue":"Geophysical Journal International","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Algorithm; Inversion (geology); Minification; Mathematical optimization; Spurious relationship; Line search; Mathematics; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005951129,0.0007901731,0.0004316173,0.0004710657,0.0002420698,0.000556021,0.0008909242,0.0006835067,0.001829391],"category_scores_gemma":[0.001529591,0.0003102261,0.0005958833,0.0004317628,0.0003806152,0.00079755,0.0009807737,0.0008358514,0.0006624603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002787516,"about_ca_system_score_gemma":0.0008711483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00250877,"about_ca_topic_score_gemma":0.002647465,"domain_scores_codex":[0.9997537,0.00005531292,0.0000122472,0.00003028994,0.0001226177,0.00002582362],"domain_scores_gemma":[0.999516,0.0002255713,0.00004042092,0.00006089981,0.0001302683,0.00002690935],"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":[0.0001354044,0.00008927759,0.0009416433,0.0001589579,0.00008767555,0.0001311474,0.0001499526,0.7738036,0.03465217,0.020462,0.002872595,0.1665155],"study_design_scores_gemma":[0.00000629996,0.00001061757,0.00006864945,0.000002491002,0.000002324925,0.00001169264,0.000004242149,0.9961003,0.002214148,0.0009507107,0.0006237951,0.000004693204],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02305009,0.0001566821,0.9735556,0.0001120001,0.00004498677,0.00002918489,0.00003833542,0.000782919,0.002230117],"genre_scores_gemma":[0.2819346,0.0001503445,0.7144207,0.0000742588,0.00003973915,0.0001309155,0.0002210401,0.0004364663,0.00259216],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00250877,"threshold_uncertainty_score":0.006119907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02583072403192629,"score_gpt":0.2766205807338503,"score_spread":0.2507898567019241,"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."}}