{"id":"W3098061186","doi":"10.1016/j.oregeorev.2020.103882","title":"Identifying hydrothermal quartz vein generations in the Taiyangshan porphyry Cu-Mo deposit (West Qinling, China) using cathodoluminescence, trace element geochemistry, and fluid inclusions","year":2020,"lang":"en","type":"article","venue":"Ore Geology Reviews","topic":"Geological and Geochemical Analysis","field":"Earth and Planetary Sciences","cited_by":40,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Geology; Quartz; Fluid inclusions; Cathodoluminescence; Geochemistry; Hydrothermal circulation; Trace element; Stockwork; Vein; Mineralogy; Halite; Petrography; Chalcopyrite; Materials science; Copper; Paleontology; Metallurgy; Structural basin","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":[0.0001586489,0.0001742196,0.0001194228,0.001190171,0.000389349,0.0003147286,0.0004273352,0.0002919905,0.0003549109],"category_scores_gemma":[0.0001213534,0.000135677,0.0001081578,0.0006131238,0.0004559276,0.000263212,0.0002098549,0.0001313047,0.00005953227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004954514,"about_ca_system_score_gemma":0.0003771812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04130297,"about_ca_topic_score_gemma":0.09713551,"domain_scores_codex":[0.9999236,0.000004982733,0.000003471635,0.00003740462,0.00001559771,0.0000149303],"domain_scores_gemma":[0.999909,0.00001286712,0.00003183141,0.000003610971,0.00002606016,0.00001653659],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002406276,0.00005691631,0.4294865,0.0001363904,0.00005195353,0.000668541,0.00219417,0.0006571141,0.5437347,0.0003656005,0.0001891229,0.02221845],"study_design_scores_gemma":[0.00001005065,0.0000721422,0.9832518,0.000005779717,0.00001525412,0.0002382752,0.0006299614,0.001600972,0.01347411,0.00005202504,0.0006415631,0.000008066273],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989448,0.0001286028,0.0005084999,0.0000160465,0.000001578348,0.000005464801,0.00008585896,0.000008534184,0.0003006969],"genre_scores_gemma":[0.9988426,0.00005842053,0.0005589461,0.000008959728,0.000002391945,0.000003413303,0.00006866324,0.00000220832,0.0004544338],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04130297,"threshold_uncertainty_score":0.08212513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05164364849555443,"score_gpt":0.2692753148902265,"score_spread":0.2176316663946721,"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."}}