{"id":"W3122524686","doi":"10.20944/preprints201906.0020.v1","title":"Using rare earth elements (REE) to study the origin of ore-fluids associated with granite intrusions","year":2019,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Geological and Geochemical Analysis","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Manitoba Hydro","funders":"","keywords":"Geology; Hydrothermal circulation; Fractionation; Continental crust; Geochemistry; Partition coefficient; Crust; Molality; Mineralogy; Magmatic water; Intrusion; Rare-earth element; Fluid inclusions; Rare earth; Chemistry; Aqueous solution","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009348227,0.0003546359,0.0006317527,0.0001242798,0.0002007199,0.00002957369,0.001005844,0.0001728829,0.01340376],"category_scores_gemma":[0.0003907017,0.0002038784,0.0001956488,0.0006271492,0.0001171245,0.00005457486,0.000785306,0.0006950608,0.0007146185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001168786,"about_ca_system_score_gemma":0.00009402978,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00714104,"about_ca_topic_score_gemma":0.004764553,"domain_scores_codex":[0.9970654,0.0003719784,0.000600078,0.0008292416,0.0006945052,0.0004388475],"domain_scores_gemma":[0.9980273,0.0002290733,0.0003527264,0.0009598112,0.0002424219,0.0001887116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007874216,0.0001870636,0.9769906,0.00001575322,0.0004828967,0.00001034452,0.000524222,0.02068941,0.0005548028,0.000005042782,0.000005527369,0.0004556301],"study_design_scores_gemma":[0.0003285414,0.0001294001,0.9931244,0.00007992676,0.0003127242,0.000001379572,0.0003298419,0.003074053,0.001119348,0.001041284,0.0001668942,0.0002922041],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996222,0.00005990444,0.00006562546,0.0002085248,0.0001577647,0.001054655,0.0001880721,0.00004832082,0.001995156],"genre_scores_gemma":[0.9988711,0.00001747096,0.0003002292,0.00017731,0.00005158675,0.00001041519,0.0002115882,0.000007087691,0.0003532264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01761536,"threshold_uncertainty_score":0.9994705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1233958729795239,"score_gpt":0.3101742115147563,"score_spread":0.1867783385352324,"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."}}