{"id":"W4388760443","doi":"10.26443/seismica.v2i2.498","title":"Inferring rock strength and fault activation from high-resolution in situ Vp/Vs estimates surrounding induced earthquake clusters","year":2023,"lang":"en","type":"article","venue":"Seismica","topic":"earthquake and tectonic studies","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Resources Canada; Deutsche Forschungsgemeinschaft; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Geology; Induced seismicity; Poromechanics; Pore water pressure; Slip (aerodynamics); Seismology; Hydraulic fracturing; Fault (geology); Fluid pressure; Sedimentary rock; Structural basin; Shear (geology); Effective stress; Porosity; Geotechnical engineering; Petrology; Porous medium; Geochemistry; Geomorphology; Mechanics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001801157,0.0001521639,0.0002019702,0.000198216,0.0002126569,0.00007829215,0.00008684547,0.00008905459,0.00008190942],"category_scores_gemma":[0.0001453234,0.0001410308,0.00002641446,0.0004092139,0.00002638708,0.0003199108,0.00003506722,0.0001883636,0.0001539308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001109562,"about_ca_system_score_gemma":0.00002650816,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0136836,"about_ca_topic_score_gemma":0.008406724,"domain_scores_codex":[0.9988992,0.0000538587,0.0002099402,0.0003059112,0.0001901873,0.0003409043],"domain_scores_gemma":[0.9992278,0.0004986587,0.00006812478,0.0001218316,0.00001744888,0.00006619727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001301401,0.00002635505,0.8384734,0.00004278635,0.00008385337,0.00002513807,0.002700955,0.02473837,0.004144332,0.00009364459,0.0002999783,0.129241],"study_design_scores_gemma":[0.0004308853,0.00006349648,0.9360647,0.00007094982,0.000009141641,0.000001136408,0.0005294234,0.060248,0.001196569,0.0008954157,0.0003255926,0.0001647185],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980755,0.0001026027,0.0001043303,0.000538444,0.0002181074,0.0001317607,0.00002789963,0.0001391801,0.000662136],"genre_scores_gemma":[0.9991285,0.00008778997,0.0002820568,0.0001356475,0.00007965427,0.00000235502,0.0002373075,0.000005562071,0.00004110702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1290763,"threshold_uncertainty_score":0.9928843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02438589283389418,"score_gpt":0.2367130676624592,"score_spread":0.212327174828565,"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."}}