{"id":"W4224117798","doi":"10.1111/1365-2478.13205","title":"Joint inversion of muon tomography and gravity gradiometry for improved monitoring of steam‐assisted gravity drainage reservoirs","year":2022,"lang":"en","type":"article","venue":"Geophysical Prospecting","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Klox Technologies (Canada); Queen's University; Geological Survey of Canada","funders":"","keywords":"Geology; Inversion (geology); Tomography; Drainage; Geodesy; Geophysics; Geomorphology; Physics; Optics","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":[0.000384422,0.0006790041,0.0003922816,0.0003912409,0.0001988966,0.0004397404,0.0005172764,0.0005003574,0.0006165492],"category_scores_gemma":[0.001084523,0.0003119825,0.0004645583,0.0003852061,0.0003002463,0.0007616299,0.0006650295,0.0004540367,0.0001121716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003940717,"about_ca_system_score_gemma":0.0009786399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01436327,"about_ca_topic_score_gemma":0.01478995,"domain_scores_codex":[0.9998586,0.00003703398,0.000007459366,0.00002454145,0.00004207705,0.0000302094],"domain_scores_gemma":[0.9997714,0.00007582277,0.00003554535,0.00002627171,0.00006770535,0.00002324144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003675532,0.0001438627,0.02868778,0.00007282697,0.0001030113,0.000198755,0.0001685172,0.834792,0.09012119,0.001012175,0.0005441749,0.04378807],"study_design_scores_gemma":[0.00001309544,0.00002734136,0.003112679,0.000003093453,0.00001015293,0.00001338846,0.00001885776,0.9890677,0.007355259,0.0001450731,0.0002220081,0.00001130643],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8272289,0.0001383846,0.168484,0.0002745566,0.00005159188,0.00004406471,0.0002538938,0.0009178284,0.002606779],"genre_scores_gemma":[0.9810667,0.00002608349,0.01841307,0.00001842877,0.000005870802,0.00001247341,0.0001130871,0.00002904428,0.0003151517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01436327,"threshold_uncertainty_score":0.02855939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02401355112050782,"score_gpt":0.2492024528352706,"score_spread":0.2251889017147627,"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."}}