{"id":"W2064275717","doi":"10.1016/j.oregeorev.2014.10.022","title":"Trace metals in pyrite and marcasite from the Agua Rica porphyry-high sulfidation epithermal deposit, Catamarca, Argentina: Textural features and metal zoning at the porphyry to epithermal transition","year":2014,"lang":"en","type":"article","venue":"Ore Geology Reviews","topic":"Geological and Geochemical Analysis","field":"Earth and Planetary Sciences","cited_by":156,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"Consejo Nacional de Investigaciones Científicas y Técnicas; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Pyrite; Breccia; Geology; Marcasite; Geochemistry; Hydrothermal circulation; Mineralogy; Sulfide; Sulfidation; Hypogene; Sulfur; Sphalerite; Materials science; Metallurgy","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00009306008,0.0002048558,0.000148528,0.001095369,0.0003823149,0.0004309433,0.0002624775,0.0002412546,0.0005235386],"category_scores_gemma":[0.0001663681,0.000114362,0.00008286237,0.0006584344,0.0002633209,0.0001439273,0.0001977763,0.00009321062,0.0001182178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000594097,"about_ca_system_score_gemma":0.0002216574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07933027,"about_ca_topic_score_gemma":0.1158901,"domain_scores_codex":[0.9999372,0.000003808238,0.000006361647,0.00002364644,0.00001622936,0.00001286839],"domain_scores_gemma":[0.9999405,0.000005566591,0.00001972794,0.000003320637,0.00002390035,0.000006993832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0010748,0.0001051233,0.6232215,0.0003026304,0.000123595,0.0009747196,0.002104261,0.001023173,0.3250831,0.0003256875,0.0003387205,0.0453226],"study_design_scores_gemma":[0.000005264214,0.00003173601,0.9927011,0.000007860594,0.0000174227,0.0001792629,0.0003220049,0.0003144947,0.004862479,0.000028553,0.001527357,0.000002494852],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984395,0.0005167961,0.00005158819,0.00001709835,0.000001429605,0.000002428943,0.0001687065,0.000004260074,0.0007981689],"genre_scores_gemma":[0.9985402,0.0003716028,0.0001140642,0.000005322802,0.000002604617,0.000002211507,0.0001623347,0.000003126775,0.0007985772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07933027,"threshold_uncertainty_score":0.157737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009609532946236322,"score_gpt":0.2018800387998175,"score_spread":0.1922705058535812,"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."}}