{"id":"W4285156347","doi":"10.3997/2214-4609.202210838","title":"Neural Estimation of Seismic Local Slopes","year":2022,"lang":"en","type":"article","venue":"83rd EAGE Annual Conference & Exhibition","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Plane wave; Seismic wave; Discretization; Plane (geometry); Artificial neural network; Finite difference method; Finite difference; Geology; Mathematical analysis; Geometry; Mathematics; Computer science; Seismology; Physics; Optics; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002267621,0.0002531757,0.000222169,0.0003213474,0.00007892642,0.0003145312,0.0002956621,0.0002332212,0.001007812],"category_scores_gemma":[0.0009449661,0.0001453545,0.0001448846,0.0002521336,0.0002118082,0.0005105503,0.0003072898,0.0003902899,0.0001859683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002679834,"about_ca_system_score_gemma":0.0001862423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002020983,"about_ca_topic_score_gemma":0.003256626,"domain_scores_codex":[0.9999431,0.000009924607,0.000002558033,0.00002293239,0.0000140202,0.000007381443],"domain_scores_gemma":[0.9998585,0.00005013899,0.00002207881,0.00001738405,0.00004158659,0.00001026356],"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":[0.00005504524,0.00001550344,0.002696636,0.00002354034,0.00001521979,0.00002475002,0.00002282296,0.8906668,0.0127838,0.003065178,0.0002799707,0.09035075],"study_design_scores_gemma":[8.162463e-7,0.000004137444,0.0006815186,0.000001800077,0.000001175616,0.000003353865,0.000002633006,0.9975818,0.0009424466,0.0007139332,0.00006477856,0.000001696375],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3221342,0.0001908633,0.6735311,0.0001118253,0.00001766062,0.00001412359,0.0001322165,0.0004212456,0.0034467],"genre_scores_gemma":[0.9732685,0.00007323606,0.02466863,0.000009203252,0.0000093999,0.00000933458,0.0000881529,0.00001744911,0.001856099],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002020983,"threshold_uncertainty_score":0.004018366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02412570574518313,"score_gpt":0.2403261740280691,"score_spread":0.2162004682828859,"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."}}