{"id":"W2883230378","doi":"10.1093/gji/ggy290","title":"Stress inversion of shear-tensile focal mechanisms with application to hydraulic fracture monitoring","year":2018,"lang":"en","type":"article","venue":"Geophysical Journal International","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microseism; Focal mechanism; Geology; Hydraulic fracturing; Seismology; Fault plane; Shear (geology); Shear stress; Plane stress; Differential stress; Slip (aerodynamics); Inversion (geology); Induced seismicity; Geotechnical engineering; Fault (geology); Tectonics; Mechanics; Structural engineering; Deformation (meteorology); Petrology; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005388228,0.0004728177,0.000277987,0.0008772694,0.0002044172,0.0003759869,0.0005585276,0.0003716282,0.0003590187],"category_scores_gemma":[0.002306973,0.0002391272,0.0002011875,0.0005967618,0.0002637551,0.0004377332,0.0005385669,0.0002232554,0.00007836866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003051496,"about_ca_system_score_gemma":0.0006318727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003973879,"about_ca_topic_score_gemma":0.007672396,"domain_scores_codex":[0.9998643,0.00002507224,0.00001051621,0.00003497317,0.00004508611,0.00002010636],"domain_scores_gemma":[0.999312,0.0002530836,0.0001616791,0.00006277992,0.0001696984,0.00004071589],"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":[0.0003453298,0.0003703265,0.1246714,0.0001427234,0.00009827154,0.0004733229,0.0003718199,0.4829446,0.1647358,0.001948334,0.0003694629,0.2235287],"study_design_scores_gemma":[0.0000198032,0.00007994751,0.01926356,0.000005910234,0.00001052023,0.00006991798,0.00007602586,0.9679152,0.01178409,0.0006050184,0.0001539115,0.00001609583],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8866842,0.00006738373,0.1121352,0.00006709569,0.000007855971,0.00003731903,0.0001470605,0.0002560838,0.0005978271],"genre_scores_gemma":[0.9618921,0.0000268452,0.03779866,0.000006690321,0.000007848213,0.0000156501,0.00009629272,0.00001057635,0.0001454025],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003973879,"threshold_uncertainty_score":0.00790149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007750099803885699,"score_gpt":0.2307586105391585,"score_spread":0.2230085107352728,"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."}}