{"id":"W4297348683","doi":"10.56952/arma-2022-0172","title":"Viscoelastic Stress Relaxation for Estimating Shmin Magnitude in Deep Sedimentary Formations","year":2022,"lang":"en","type":"article","venue":"","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"Curtin University of Technology; Commonwealth Scientific and Industrial Research Organisation; Australian Government","keywords":"Geology; Creep; Viscoelasticity; Stress (linguistics); Sedimentary rock; Stress relaxation; Rheology; Geotechnical engineering; Geothermal gradient; Deformation (meteorology); Geophysics; Materials science","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":[0.000345181,0.000519573,0.0001697926,0.001339555,0.0001513419,0.0003290865,0.0003910675,0.0004173281,0.0005571144],"category_scores_gemma":[0.0007854343,0.0002481402,0.0002867953,0.000904917,0.0001611249,0.0005945839,0.000442267,0.000238018,0.0002310086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002017886,"about_ca_system_score_gemma":0.0002445665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001702748,"about_ca_topic_score_gemma":0.002908601,"domain_scores_codex":[0.9998815,0.00001661744,0.00001320049,0.00004495486,0.00003045054,0.00001328322],"domain_scores_gemma":[0.9997188,0.0000614836,0.0001051123,0.00003869373,0.00005288766,0.00002293079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002904526,0.0002055232,0.3853261,0.0003524805,0.0001146354,0.0003265842,0.0004949339,0.07182071,0.3271666,0.0007287625,0.0003705362,0.2128026],"study_design_scores_gemma":[0.00001616066,0.0002893379,0.4203667,0.00004544566,0.00005527079,0.0003295018,0.0002401017,0.5123906,0.06375177,0.000888006,0.001564424,0.00006261927],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9132661,0.0002882875,0.0844549,0.00003809173,0.00001021353,0.00003762138,0.0004591334,0.0004075781,0.001038077],"genre_scores_gemma":[0.9842476,0.00007953335,0.01523509,0.000006054026,0.000004856862,0.00002031535,0.0001766543,0.00001325672,0.0002167074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001702748,"threshold_uncertainty_score":0.003385603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006461252625180436,"score_gpt":0.2209740980496356,"score_spread":0.2145128454244552,"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."}}