{"id":"W2146263113","doi":"10.1007/s00126-013-0476-1","title":"Comparing orthomagmatic and hydrothermal mineralization models for komatiite-hosted nickel deposits in Zimbabwe using multiple-sulfur, iron, and nickel isotope data","year":2013,"lang":"en","type":"article","venue":"Mineralium Deposita","topic":"Geological and Geochemical Analysis","field":"Earth and Planetary Sciences","cited_by":76,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Geochemistry; Geology; Archean; Isotope fractionation; Sulfur; Mineralization (soil science); Hydrothermal circulation; Sulfide; Sedimentary rock; Isotope geochemistry; Isotope; Fractionation; Chemistry","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":[0.0004374576,0.0003476194,0.0002198181,0.0006861181,0.0004813149,0.001094285,0.0007370281,0.0004261152,0.001240257],"category_scores_gemma":[0.001192091,0.0003119525,0.0004688254,0.0005914983,0.0002593219,0.0004414835,0.0003529874,0.0002086635,0.000228198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002270192,"about_ca_system_score_gemma":0.001186595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3489628,"about_ca_topic_score_gemma":0.3365705,"domain_scores_codex":[0.9998862,0.00002614011,0.00001040442,0.00003739274,0.00001222153,0.00002768344],"domain_scores_gemma":[0.9997556,0.000110202,0.0000374667,0.00001868071,0.0000590329,0.00001909501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00050144,0.00009651824,0.2925532,0.0001294846,0.0004281646,0.0003260849,0.0006114264,0.6721662,0.008170391,0.002625476,0.0007246549,0.02166679],"study_design_scores_gemma":[0.00007906568,0.00003581463,0.1076345,0.00002538603,0.0001063138,0.0000590645,0.0004145166,0.8888697,0.00128247,0.0007524908,0.000708742,0.00003189787],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978731,0.00005974822,0.0009730338,0.00005885059,0.000001758439,0.00000977984,0.0004300787,0.00003824229,0.000555441],"genre_scores_gemma":[0.9985763,0.00004340652,0.000782967,0.000006817491,0.000001001586,0.000009107669,0.0003211008,0.00001272359,0.000246596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3489628,"threshold_uncertainty_score":0.6938633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04704885953230847,"score_gpt":0.2279944879113689,"score_spread":0.1809456283790604,"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."}}