{"id":"W4392726745","doi":"10.2118/218050-ms","title":"Uncertainty Quantification Through the Assimilation of CO2 Plume Size from 4D Seismic Survey","year":2024,"lang":"en","type":"article","venue":"","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Data assimilation; Plume; Environmental science; Assimilation (phonology); Remote sensing; Geology; Meteorology; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003266746,0.0004876058,0.0002178724,0.0004404213,0.0002668178,0.0005759548,0.0004939194,0.0004555521,0.0006326161],"category_scores_gemma":[0.0009437316,0.0002403986,0.000388629,0.0003014193,0.000269005,0.0004018783,0.0005371775,0.0004863219,0.0001002086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006017235,"about_ca_system_score_gemma":0.001040048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04359804,"about_ca_topic_score_gemma":0.03598429,"domain_scores_codex":[0.999899,0.00001492997,0.000007993413,0.00002901209,0.00003532181,0.00001380129],"domain_scores_gemma":[0.9996698,0.00008387081,0.00005695131,0.00005900588,0.0001046618,0.00002579655],"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":[0.00007426307,0.00005894615,0.008847017,0.00002103795,0.000041905,0.00005919886,0.00005248652,0.9551477,0.01230406,0.0006336867,0.0002635427,0.02249604],"study_design_scores_gemma":[0.00000222336,0.000005482958,0.00104862,9.617564e-7,0.00000237264,0.00000190799,0.000005191145,0.996972,0.001792031,0.00008943192,0.00007485646,0.000004861631],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8410141,0.00006299384,0.1545837,0.0001610598,0.00002721806,0.00004414276,0.0005869284,0.001342997,0.002176867],"genre_scores_gemma":[0.9774098,0.00001953259,0.02198655,0.00001220624,0.000003984469,0.00001577473,0.0002799697,0.00002451432,0.0002476673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04359804,"threshold_uncertainty_score":0.08668858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04132291257648898,"score_gpt":0.2998104944876426,"score_spread":0.2584875819111536,"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."}}