{"id":"W3089902119","doi":"10.1190/segam2020-3422775.1","title":"Integrating seismic velocity and well logs with quantified uncertainty","year":2020,"lang":"en","type":"article","venue":"","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"ConocoPhillips (Canada)","funders":"","keywords":"Seismic velocity; Standard deviation; Geology; Computer science; Seismology; Statistics; Mathematics","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":[0.001637818,0.001090853,0.000676107,0.001060433,0.0003148366,0.002001427,0.001095007,0.0009608933,0.00115162],"category_scores_gemma":[0.007994425,0.0006697135,0.0007431358,0.0009685557,0.0008278792,0.002678529,0.001713364,0.001268284,0.000258191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001242396,"about_ca_system_score_gemma":0.001734655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01065175,"about_ca_topic_score_gemma":0.007134113,"domain_scores_codex":[0.9987537,0.000211593,0.0000800616,0.0002464693,0.0006022789,0.0001058849],"domain_scores_gemma":[0.9980904,0.0009080521,0.0002799534,0.0002531569,0.0004079603,0.00006042908],"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":[0.00002229041,0.00001693035,0.0009947623,0.00001639961,0.0000144598,0.00002356836,0.00002476151,0.9773048,0.001882162,0.007279229,0.0001485288,0.01227204],"study_design_scores_gemma":[0.000002105374,0.000007277508,0.0002472459,0.000004307322,0.000003462331,0.000005666323,0.00000493035,0.9940354,0.00134223,0.004048931,0.0002885455,0.000009931629],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02359539,0.00005169854,0.9744346,0.00008693155,0.00002246075,0.00001896545,0.0001057511,0.0003781515,0.001306095],"genre_scores_gemma":[0.8345644,0.0002150657,0.1621072,0.00007620682,0.00004964816,0.00009576113,0.0004625793,0.0002921034,0.002137108],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01065175,"threshold_uncertainty_score":0.0211795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0214287463924469,"score_gpt":0.2445381414781459,"score_spread":0.223109395085699,"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."}}