{"id":"W3199572872","doi":"10.2118/206730-pa","title":"Determination of Horizontal In-Situ Stress Profiles and Rock Deformation Moduli in Karamay Basin Using a Multiobjective Optimization Technique","year":2021,"lang":"en","type":"article","venue":"SPE Journal","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Borehole; Geology; Calipers; Inversion (geology); Deformation (meteorology); Stress field; Stress (linguistics); Rock mechanics; Structural basin; Geotechnical engineering; Geometry; Engineering; Geomorphology; Mathematics; Structural engineering","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":[0.0005626096,0.0006254587,0.0004421199,0.0006321302,0.0002347158,0.000412326,0.0002864791,0.0003766923,0.0004908597],"category_scores_gemma":[0.000711288,0.0003677136,0.0003904817,0.0003388421,0.0002426993,0.0002485228,0.0003624848,0.0002449329,0.0000613036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004290811,"about_ca_system_score_gemma":0.0007476581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009341833,"about_ca_topic_score_gemma":0.01010732,"domain_scores_codex":[0.9998689,0.00004311091,0.000008345547,0.00003300992,0.00002696991,0.00001974454],"domain_scores_gemma":[0.9997193,0.0001552484,0.00004757089,0.00001245106,0.00004935319,0.00001609794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00003515781,0.00003326631,0.00516584,0.00004923108,0.00003949379,0.00004699038,0.00004545195,0.9503298,0.01867089,0.0003331524,0.00007997923,0.02517078],"study_design_scores_gemma":[0.000003569946,0.00001982291,0.002463657,0.000002787865,0.000005082154,0.000007562825,0.00001429116,0.9950819,0.002173453,0.0001605673,0.00006289947,0.000004419286],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5889293,0.00009279924,0.4088728,0.00008895441,0.000004211824,0.00004260462,0.0001306994,0.0001711672,0.001667462],"genre_scores_gemma":[0.8957375,0.00003997997,0.1034754,0.00001659386,0.000002838972,0.00007418414,0.00009082289,0.00002437082,0.00053819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009341833,"threshold_uncertainty_score":0.01857489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006566322257458079,"score_gpt":0.226540743337925,"score_spread":0.2199744210804669,"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."}}