{"id":"W3012101318","doi":"10.1190/geo2019-0108.1","title":"Amplitude variation with offset inversion using acoustic-elastic local solver","year":2020,"lang":"en","type":"article","venue":"Geophysics","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Amplitude versus offset; Amplitude; Solver; Inversion (geology); Offset (computer science); Plane wave; Acoustics; Mathematical analysis; Physics; Geology; Mathematics; Optics; Computer science; Mathematical optimization; Seismology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005056722,0.0001073968,0.0001112263,0.00002602875,0.0001322625,0.00004141491,0.000113386,0.00004077727,0.0002472947],"category_scores_gemma":[0.0000129245,0.00008666817,0.00002913311,0.0002161118,0.00007456063,0.0002449528,0.00001370107,0.0001261132,0.0002420095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007455053,"about_ca_system_score_gemma":0.00005621792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002032045,"about_ca_topic_score_gemma":0.000009147518,"domain_scores_codex":[0.9992607,0.00002667408,0.00009876616,0.0002061101,0.0002235975,0.0001841596],"domain_scores_gemma":[0.9996491,0.00004364716,0.00005705193,0.0001021636,0.00004299658,0.0001050241],"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":[0.001042793,0.0001787962,0.09866874,0.0004163654,0.0002310039,0.0001517458,0.007137069,0.4849276,0.01274582,0.0006267729,0.06065234,0.333221],"study_design_scores_gemma":[0.0002199793,0.0001799409,0.009631245,0.00002338278,0.00004073178,0.000003912618,0.0001875039,0.9858142,0.0006858942,0.000691211,0.002350027,0.0001720264],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3967847,0.00002464132,0.6014261,0.000535635,0.0001505548,0.0001110574,0.00003652815,0.0001858486,0.0007448889],"genre_scores_gemma":[0.9906202,0.00000500485,0.005244212,0.003887343,0.0001422582,2.2274e-7,0.00007827395,0.000004299195,0.00001821528],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5961819,"threshold_uncertainty_score":0.3534226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01865278662725653,"score_gpt":0.1986331682031774,"score_spread":0.1799803815759209,"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."}}