{"id":"W4365385136","doi":"10.2139/ssrn.4415087","title":"Numerical Upscaling of Anisotropic Failure Criteria in Heterogeneous Reservoirs","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Advanced Mathematical Modeling in Engineering","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Anisotropy; Geology; Computer science; Petroleum engineering; 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":[0.001111965,0.0007753146,0.001054502,0.000869858,0.000418592,0.001438729,0.00111435,0.001465783,0.001339108],"category_scores_gemma":[0.005420201,0.000467918,0.0004793254,0.0005983017,0.001043846,0.001020718,0.00125139,0.001011462,0.0001084215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008278827,"about_ca_system_score_gemma":0.000887273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007682142,"about_ca_topic_score_gemma":0.003852932,"domain_scores_codex":[0.9997661,0.00006955867,0.00001774916,0.00003473733,0.00007273549,0.00003924103],"domain_scores_gemma":[0.9976956,0.001390653,0.0002486077,0.000172028,0.000365383,0.0001277611],"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":[0.00003983397,0.00003384136,0.0005203051,0.00002675699,0.00001100619,0.00003612912,0.00002593799,0.9904749,0.00195174,0.002306289,0.0001182397,0.004455143],"study_design_scores_gemma":[0.000002137485,0.000006332288,0.00003445947,0.000001391627,0.000001045348,0.000002196769,0.000003214303,0.9993857,0.0001978376,0.0003424461,0.00002158258,0.000001572611],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6048511,0.0005499901,0.3850686,0.0005832565,0.0001759429,0.0001102062,0.000154168,0.0005725448,0.007934146],"genre_scores_gemma":[0.9773196,0.00008161597,0.0216951,0.00002696633,0.00002396642,0.00003196326,0.00003961204,0.0000528868,0.0007282856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007682142,"threshold_uncertainty_score":0.01527488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02237900136992093,"score_gpt":0.2859019160419607,"score_spread":0.2635229146720398,"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."}}