{"id":"W3096005869","doi":"10.1093/jge/gxaa053","title":"Comparing different approaches of time-lapse seismic inversion","year":2020,"lang":"en","type":"article","venue":"Journal of Geophysics and Engineering","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universidade Estadual de Campinas; CMG Reservoir Simulation Foundation","keywords":"Inversion (geology); Seismic inversion; Geology; Bayesian probability; Amplitude; Algorithm; Seismology; Computer science; Mathematics; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.003456464,0.001123254,0.0006775929,0.002347803,0.0004088053,0.001299516,0.001657099,0.00163593,0.001488359],"category_scores_gemma":[0.01320027,0.0004624418,0.0009744164,0.001348591,0.0005506869,0.001629835,0.001393732,0.001212655,0.000658474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008076798,"about_ca_system_score_gemma":0.001302363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01721154,"about_ca_topic_score_gemma":0.01724081,"domain_scores_codex":[0.9986118,0.0004911861,0.0001009162,0.0002312432,0.0004423389,0.0001223678],"domain_scores_gemma":[0.9951907,0.002933624,0.0002227061,0.0004385624,0.001063592,0.0001507845],"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":[0.00111942,0.0005306698,0.01458089,0.0004088954,0.0007747536,0.00008496916,0.0002347091,0.6513,0.01560743,0.005860807,0.002185139,0.3073124],"study_design_scores_gemma":[0.00006828977,0.0001133136,0.003252377,0.0000291944,0.00004960578,0.00004363718,0.00009521916,0.9892668,0.004681017,0.001422299,0.0009345755,0.00004378947],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3953736,0.001719241,0.5887473,0.0006860886,0.0002342036,0.0003027522,0.00146385,0.004237921,0.007235095],"genre_scores_gemma":[0.5578104,0.0007978689,0.4356849,0.0001849903,0.00006126107,0.0002371622,0.00332921,0.0005305763,0.001363616],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01721154,"threshold_uncertainty_score":0.03422272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02388332338980182,"score_gpt":0.1670040652732991,"score_spread":0.1431207418834973,"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."}}