{"id":"W4404624985","doi":"10.1007/s00603-024-04268-9","title":"Modeling the Present-Day In-Situ Stress Field in a Geo-Energy Reservoir for Geomechanical Dilation-Enhanced Thermal Recovery","year":2024,"lang":"en","type":"article","venue":"Rock Mechanics and Rock Engineering","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Geomechanica (Canada); University of Calgary; Concordia University","funders":"","keywords":"Geology; Dilation (metric space); Geotechnical engineering; In situ; Thermal; Stress (linguistics); Field (mathematics); Petroleum engineering; Meteorology","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":[0.0001610327,0.0003374421,0.00035762,0.0002160106,0.0004477879,0.0006316421,0.0008040185,0.001202317,0.002125914],"category_scores_gemma":[0.000662916,0.0003597543,0.0003723085,0.0003167016,0.0006674716,0.0008711074,0.0004484567,0.0006283683,0.0001585009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007175086,"about_ca_system_score_gemma":0.0008936146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01849862,"about_ca_topic_score_gemma":0.01871302,"domain_scores_codex":[0.9999481,0.00001021394,0.000003241448,0.0000136308,0.000008805506,0.0000160012],"domain_scores_gemma":[0.9998358,0.00007651426,0.00002238249,0.00001516319,0.00002609815,0.00002393889],"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":[0.0000391755,0.00006789938,0.001918876,0.00002010017,0.000009861807,0.0001003876,0.00002606102,0.9920166,0.003493763,0.0008292647,0.0001621189,0.001316006],"study_design_scores_gemma":[0.000004191078,0.000007782268,0.0004741626,9.365116e-7,0.000001992128,0.000005060393,0.00001084176,0.9989836,0.0003501025,0.0001153848,0.00004319689,0.000002774393],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9619429,0.0001200031,0.02842822,0.0004960587,0.00004449647,0.00002993038,0.0003536998,0.0002168048,0.008367975],"genre_scores_gemma":[0.9968401,0.00004649333,0.001687488,0.00001860438,0.000006007375,0.00001093572,0.00006142858,0.00002286637,0.001306037],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01849862,"threshold_uncertainty_score":0.03678191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00692278658528712,"score_gpt":0.2052888708903615,"score_spread":0.1983660843050744,"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."}}