{"id":"W3022581998","doi":"10.5194/se-11-1571-2020","title":"On the morphology and amplitude of 2D and 3D thermal anomalies induced by buoyancy-driven flow within and around fault zones","year":2020,"lang":"en","type":"article","venue":"Solid Earth","topic":"earthquake and tectonic studies","field":"Earth and Planetary Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University; University of Sudbury","funders":"Bureau de Recherches Géologiques et Minières; Agence Nationale de la Recherche","keywords":"Geology; Buoyancy; Geothermal gradient; Petrology; Fault (geology); Thermal; Amplitude; Convection; Geophysics; Fluid dynamics; Permeability (electromagnetism); Hydrothermal circulation; Mechanics; Seismology; Meteorology","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":[0.00009961901,0.0003775278,0.0003138785,0.0005584272,0.0002045295,0.0007592186,0.0002670209,0.0004173229,0.001492989],"category_scores_gemma":[0.0005946853,0.0002235161,0.0004802162,0.0003719825,0.0005455857,0.0003665679,0.0003493059,0.0003286836,0.0001217022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003710477,"about_ca_system_score_gemma":0.0002869176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004212286,"about_ca_topic_score_gemma":0.00226833,"domain_scores_codex":[0.9999213,0.00001445705,0.000005589705,0.00002062102,0.00001902942,0.00001892338],"domain_scores_gemma":[0.9997441,0.00008552332,0.0000617735,0.00002761755,0.00003581926,0.00004511677],"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":[0.0001552066,0.0000977301,0.02203623,0.0000974507,0.00007176846,0.0004106202,0.0001502739,0.9369081,0.03159393,0.00149325,0.0004679081,0.006517524],"study_design_scores_gemma":[0.00001680442,0.00003796621,0.02013995,0.000007778145,0.00001706353,0.00006279402,0.00005207843,0.9766739,0.002361751,0.000339354,0.000267241,0.00002330251],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914829,0.0001165133,0.006272345,0.0000696019,0.00001691545,0.0000116694,0.0004062658,0.0002045891,0.001419177],"genre_scores_gemma":[0.9987329,0.00004712917,0.0008377081,0.000006579463,0.000003572798,0.000004800596,0.0001879299,0.00001404819,0.0001653527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004212286,"threshold_uncertainty_score":0.008375525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02306493168203895,"score_gpt":0.2194561255408898,"score_spread":0.1963911938588508,"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."}}