{"id":"W2333038523","doi":"10.3997/2214-4609.201600019","title":"How Big is Too Big? Assessing Seismic Hazard and Hydraulic Fracture-Induced Seismicity","year":2016,"lang":"en","type":"article","venue":"Proceedings","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Apheresis Group","funders":"","keywords":"Induced seismicity; Magnitude (astronomy); Seismology; Geology; Seismic hazard; Ground motion; Hydraulic fracturing; Hazard; Stress (linguistics); Hazard analysis; Tectonics; Geotechnical engineering; Engineering; Physics","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":[0.00305055,0.0003163826,0.0003324318,0.002040435,0.0003360222,0.001466017,0.0004225431,0.0007382639,0.001293484],"category_scores_gemma":[0.01862188,0.0002060565,0.0002669867,0.001573475,0.0008989092,0.002076076,0.0008782692,0.0006249949,0.0002304268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008165268,"about_ca_system_score_gemma":0.0007707282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0045236,"about_ca_topic_score_gemma":0.01310943,"domain_scores_codex":[0.9985025,0.0006790074,0.000147849,0.0001393361,0.0004365365,0.0000948797],"domain_scores_gemma":[0.9687489,0.02172738,0.004773922,0.000546379,0.002395601,0.001807805],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000906521,0.00008998602,0.959998,0.00004824392,0.00009762861,0.0001611743,0.000419375,0.0118096,0.0007386573,0.001529843,0.0005929233,0.02442385],"study_design_scores_gemma":[0.000007332021,0.0004632533,0.9015528,0.00004965517,0.00007257026,0.0003913009,0.004450316,0.07476185,0.001524433,0.01553257,0.001125711,0.00006815005],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881104,0.0001903098,0.00612498,0.0006777288,0.000007859482,0.00003128536,0.0004630162,0.00003662844,0.004357658],"genre_scores_gemma":[0.9983506,0.00005943927,0.001293679,0.00002763705,0.00001011517,0.000006432248,0.0001102394,0.000002650803,0.0001392493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0045236,"threshold_uncertainty_score":0.01613307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0307027959795097,"score_gpt":0.2443945727734823,"score_spread":0.2136917767939726,"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."}}