{"id":"W4365458480","doi":"10.1111/1365-2478.13363","title":"Monitoring fluid saturation in reservoirs using time‐lapse full‐waveform inversion","year":2023,"lang":"en","type":"article","venue":"Geophysical Prospecting","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Centre de Géomatique du Québec; Institut National de la Recherche Scientifique","funders":"","keywords":"Inversion (geology); Saturation (graph theory); Geology; Engineering geology; Regional geology; Economic geology; Porosity; Environmental geology; Waveform; Petrophysics; Soil science; Geophysics; Mineralogy; Hydrogeology; Geotechnical engineering; Seismology; Computer science; Mathematics; Volcanism","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003783115,0.000128194,0.0001550659,0.0001933847,0.0002818261,0.00007510019,0.0001502603,0.00006595694,0.0000951814],"category_scores_gemma":[0.0001141464,0.0001169989,0.00005507611,0.0008877612,0.00004417424,0.0004972295,0.00004116235,0.0002662983,0.0009599532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003824334,"about_ca_system_score_gemma":0.00002562723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004565703,"about_ca_topic_score_gemma":0.00001599416,"domain_scores_codex":[0.9987727,0.0000445811,0.0002102695,0.0003014547,0.0002859166,0.0003850572],"domain_scores_gemma":[0.9995728,0.00009622152,0.00006838634,0.0001575598,0.00003464711,0.00007045047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002160351,0.0000651283,0.6128649,0.0001299186,0.00002428597,0.0001326997,0.003048685,0.012773,0.1209891,0.00007014254,0.002511651,0.2471744],"study_design_scores_gemma":[0.0002317019,0.00009464884,0.1102001,0.0001602648,0.000005852719,0.00000582279,0.0006354454,0.8627372,0.02160691,0.003862952,0.00021744,0.0002415767],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966404,0.00002461647,0.00002851925,0.0002513458,0.0003222682,0.0001515925,0.000002641252,0.0003907049,0.002187925],"genre_scores_gemma":[0.9980201,0.00001385885,0.001207426,0.0000696614,0.0003584256,0.000001055964,0.00002876743,0.000006656656,0.0002940477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8499643,"threshold_uncertainty_score":0.9998179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02222088354932239,"score_gpt":0.2445955001826553,"score_spread":0.2223746166333329,"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."}}