{"id":"W2754006604","doi":"10.1016/j.oregeorev.2017.09.007","title":"Trace element geochemistry of magnetite from the giant Beiya gold-polymetallic deposit in Yunnan Province, Southwest China and its implications for the ore forming processes","year":2017,"lang":"en","type":"article","venue":"Ore Geology Reviews","topic":"Geological and Geochemical Analysis","field":"Earth and Planetary Sciences","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lakehead University","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Magnetite; Geology; Skarn; Geochemistry; Hydrothermal circulation; Mineral redox buffer; Mineralization (soil science); Ore genesis; Quartz; Mineralogy; Fluid inclusions; Mantle (geology)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003668708,0.0001564193,0.000364864,0.00001325648,0.000351807,0.00003883281,0.0006379804,0.00008060625,0.0004963281],"category_scores_gemma":[0.0005177835,0.0000715952,0.00009817303,0.0001038603,0.0002488857,0.00008371163,0.00006793419,0.0001392594,0.00001349026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001747042,"about_ca_system_score_gemma":0.00003438292,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003959448,"about_ca_topic_score_gemma":0.04499879,"domain_scores_codex":[0.9989167,0.00004626757,0.0003918791,0.0003093104,0.00006690605,0.0002689568],"domain_scores_gemma":[0.9988104,0.0003249309,0.0003474207,0.0004146951,0.00004460083,0.00005800677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001871668,0.00002769573,0.9115755,0.0001897414,0.00003321908,0.000001038302,0.0001216385,0.00001364184,0.0008433417,0.00008893211,0.0001648525,0.0869217],"study_design_scores_gemma":[0.0001743323,0.00005857763,0.9786833,0.00006107926,0.0001373652,0.000008951185,0.00004372008,0.0006971671,0.0006690232,0.003288319,0.01605982,0.0001183333],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8826621,0.1023959,0.00006462047,0.01316409,0.00002617869,0.0008053784,0.0001719536,0.000007359153,0.0007024819],"genre_scores_gemma":[0.9889948,0.009790582,0.0004256631,0.0002408132,0.00006607173,0.00006433963,0.0001301329,0.000002009194,0.0002856326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1063327,"threshold_uncertainty_score":0.9724275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02267380308909213,"score_gpt":0.2427954008370262,"score_spread":0.2201215977479341,"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."}}