{"id":"W4415494989","doi":"10.3997/2214-4609.202521066","title":"Incorporating Microseismic data into Discrete Fracture Network Models in Enhanced Geothermal Systems, Utah FORGE","year":2025,"lang":"","type":"article","venue":"","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"WSP (Canada)","funders":"","keywords":"Microseism; Geothermal gradient; Fracture (geology); Workflow; Geothermal energy; Black box; Flow (mathematics); Network model","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":[0.0003811369,0.0002836401,0.0003165978,0.0004052287,0.0005199321,0.0008066837,0.0009173484,0.0009765541,0.001219841],"category_scores_gemma":[0.001252863,0.000377414,0.0004525927,0.000413014,0.0004897441,0.0007690789,0.0006043619,0.0005787748,0.0001464563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001690711,"about_ca_system_score_gemma":0.001023453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08337743,"about_ca_topic_score_gemma":0.1128976,"domain_scores_codex":[0.9999092,0.00002024124,0.000004724395,0.00003002311,0.00002383194,0.00001195607],"domain_scores_gemma":[0.9995333,0.0002513353,0.00004514492,0.0000547583,0.0000856941,0.00002977747],"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":[0.000006507213,0.000006998232,0.001091008,0.000003402129,0.000003100931,0.000008867677,0.00001045886,0.9973724,0.0001539962,0.0003565651,0.00008710127,0.0008996262],"study_design_scores_gemma":[0.000001928543,0.000002151027,0.0003148986,8.768149e-7,8.144011e-7,0.000001610114,0.000003971809,0.9992366,0.00006220011,0.0002707483,0.0001019547,0.000002184751],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9058616,0.0001455108,0.08559141,0.0005116014,0.0000266537,0.00005592689,0.001959945,0.0005544435,0.005293014],"genre_scores_gemma":[0.9783019,0.00004953,0.01940253,0.00002632348,0.000007697859,0.00004829339,0.0005265481,0.00004549196,0.001591641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08337743,"threshold_uncertainty_score":0.1657842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01867974332840438,"score_gpt":0.2540417330465423,"score_spread":0.2353619897181379,"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."}}