{"id":"W1980051745","doi":"10.1016/j.gsf.2011.05.008","title":"Finite element modeling of pore-fluid flow in the Dachang ore district, Guangxi, China: Implications for hydrothermal mineralization","year":2011,"lang":"en","type":"article","venue":"Geoscience Frontiers","topic":"Geological and Geochemical Analysis","field":"Earth and Planetary Sciences","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"National Natural Science Foundation of China","keywords":"Mineralization (soil science); Geology; Hydrothermal circulation; Fluid dynamics; Tectonics; Geochemistry; Ore genesis; Crust; Porosity; Finite element method; Rare-earth element; Fluid inclusions; Petrology; Mineralogy; Geotechnical engineering; Rare earth; Soil science; Mechanics; Seismology; Soil water; Thermodynamics","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":[0.0002498337,0.0003692086,0.000454518,0.0005922912,0.0005649708,0.0007560203,0.0007213294,0.001037043,0.001149572],"category_scores_gemma":[0.0006859135,0.0002978843,0.0004710915,0.0004463273,0.000777566,0.0003756165,0.000496779,0.0002871611,0.00009346286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001229196,"about_ca_system_score_gemma":0.001660882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05456864,"about_ca_topic_score_gemma":0.03000209,"domain_scores_codex":[0.9999086,0.00002646879,0.000006340297,0.00002081897,0.00001665716,0.00002112074],"domain_scores_gemma":[0.9997889,0.0001244233,0.0000248417,0.000014023,0.00002776271,0.00002006864],"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":[0.00002279477,0.0000253163,0.003673112,0.00001584168,0.00000694608,0.00005532717,0.00004120775,0.9926701,0.001485511,0.0005348708,0.00003884727,0.001430212],"study_design_scores_gemma":[0.000006446647,0.00000848642,0.0008837662,0.000001641004,0.000002346359,0.000005233211,0.00002103115,0.9986884,0.0002064038,0.0001033732,0.00006988602,0.000002904657],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9727465,0.00009512934,0.02283083,0.000157837,0.00001562429,0.00004523656,0.0002815352,0.00009186917,0.00373533],"genre_scores_gemma":[0.9953077,0.00005779316,0.003276705,0.00001030871,0.000002785322,0.00003651116,0.00009850702,0.000009836457,0.001199808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05456864,"threshold_uncertainty_score":0.108502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02703884150966092,"score_gpt":0.2098015264131972,"score_spread":0.1827626849035363,"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."}}