{"id":"W2625369059","doi":"10.1007/s00126-017-0736-6","title":"Origin of sulfur and crustal recycling of copper in polymetallic (Cu-Au-Co-Bi-U ± Ag) iron-oxide-dominated systems of the Great Bear Magmatic Zone, NWT, Canada","year":2017,"lang":"en","type":"article","venue":"Mineralium Deposita","topic":"Geological and Geochemical Analysis","field":"Earth and Planetary Sciences","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Government of Northwest Territories; University of Windsor; University of Alberta; Geological Survey of Canada; Natural Resources Canada","funders":"Natural Resources Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; University of Alberta; Aurora Research Institute","keywords":"Iron oxide copper gold ore deposits; Geology; Geochemistry; δ34S; Breccia; Igneous rock; Magmatic water; Magmatism; Mineralization (soil science); Carbonate; Alunite; Meteoric water; Fluid inclusions; Hydrothermal circulation; Chemistry; Paleontology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0001209555,0.0002698859,0.000259744,0.001873713,0.001646311,0.0009292238,0.0006926044,0.0002533957,0.00137594],"category_scores_gemma":[0.0002673354,0.0002619812,0.0001899199,0.001339903,0.0008377658,0.000325056,0.0004787873,0.0001820763,0.0002077999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01042597,"about_ca_system_score_gemma":0.004009457,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9313784,"about_ca_topic_score_gemma":0.9438677,"domain_scores_codex":[0.9998931,0.00000315342,0.000005588732,0.00002837524,0.00002619914,0.00004359577],"domain_scores_gemma":[0.9998179,0.00001060551,0.00002340342,0.000007113517,0.0001017565,0.00003928133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006352191,0.00006226962,0.8798325,0.0001127297,0.0001681989,0.0005192672,0.00226928,0.001170129,0.1019202,0.001014398,0.000530603,0.01176528],"study_design_scores_gemma":[0.00000650023,0.00001381506,0.995043,0.000007456305,0.00001792785,0.00005761189,0.0007056317,0.0004828675,0.002980796,0.00004158495,0.0006370744,0.000005678092],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998726,0.0001193645,0.0000253014,0.00001391604,6.490922e-7,0.00000344791,0.0002455372,0.000003630909,0.0008621666],"genre_scores_gemma":[0.9991463,0.00007174575,0.00004206986,0.000004979553,6.363011e-7,0.00000162771,0.0001457653,0.000003445337,0.0005833323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06862158,"threshold_uncertainty_score":0.1380513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01181042554186329,"score_gpt":0.2047190264055107,"score_spread":0.1929086008636474,"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."}}