{"id":"W4413400406","doi":"10.1016/j.rockmb.2025.100235","title":"Integration of image and dipole sonic logs for identification of natural fractures and stress-induced anisotropy in Asmari reservoir (A case study, SW Iran)","year":2025,"lang":"en","type":"article","venue":"Rock Mechanics Bulletin","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saskatchewan Hospital","funders":"","keywords":"Identification (biology); Anisotropy; Geology; Natural (archaeology); Stress (linguistics); Dipole; Seismology; Petroleum engineering; Physics; Paleontology; Optics; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.0004184737,0.00009493324,0.0001751508,0.0001712859,0.00008708818,0.00003017126,0.00009744109,0.00006251851,0.00003354548],"category_scores_gemma":[0.0001751719,0.00008209443,0.00002577163,0.0001268416,0.00001158032,0.00007589695,0.00002652204,0.0001244694,8.897609e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006186915,"about_ca_system_score_gemma":0.00002269242,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006838735,"about_ca_topic_score_gemma":0.000775031,"domain_scores_codex":[0.9991935,0.00007964598,0.0002989308,0.0002124718,0.0001038138,0.0001115595],"domain_scores_gemma":[0.9994603,0.0001573536,0.0001424073,0.0001416155,0.00007580772,0.00002244791],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003790109,0.001948612,0.114236,0.003455825,0.0005108311,0.000369109,0.01952348,0.002953439,0.5132902,0.007490329,0.04491274,0.2875194],"study_design_scores_gemma":[0.002162202,0.0009496029,0.01408604,0.0002923344,0.00010983,0.00005468954,0.01736953,0.5479833,0.4020083,0.01347995,0.001148244,0.0003559972],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882897,0.0004598156,0.01001012,0.0005689513,0.0001062054,0.0004293054,0.00008757669,0.00002075334,0.00002763184],"genre_scores_gemma":[0.9985732,0.00006168833,0.00112781,0.00009898726,0.000007778414,0.000004334058,0.00004717867,0.000002681593,0.00007632135],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5450299,"threshold_uncertainty_score":0.9997748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01303187602880307,"score_gpt":0.2669913627746123,"score_spread":0.2539594867458092,"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."}}