{"id":"W2552930147","doi":"10.1016/j.chemgeo.2016.11.035","title":"Insights into low- to moderate-temperature recrystallization of zircon: Unpolished crystal depth profile techniques and geochemical mapping","year":2016,"lang":"en","type":"article","venue":"Chemical Geology","topic":"Geological and Geochemical Analysis","field":"Earth and Planetary Sciences","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick; Natural Resources Canada; Geological Survey of Canada; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Natural Resources Canada; Division of Earth Sciences; National Science Foundation; University of California, Los Angeles; Goldcorp","keywords":"Zircon; Geology; Geochemistry; Geochronology; Greenstone belt; Metamorphism; Archean; Hydrothermal circulation; Recrystallization (geology); Petrology; Paleontology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003112695,0.0002416161,0.0002716196,0.0007845822,0.0002479281,0.001062865,0.0005777265,0.000412166,0.001026078],"category_scores_gemma":[0.0007419629,0.000349376,0.0002210235,0.0006862133,0.0005875657,0.0009087308,0.0004168555,0.0006407449,0.0003750426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000433952,"about_ca_system_score_gemma":0.0005124686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006005434,"about_ca_topic_score_gemma":0.01585408,"domain_scores_codex":[0.9998378,0.00001008731,0.00001109192,0.00004516607,0.00006130705,0.00003465229],"domain_scores_gemma":[0.9998275,0.00003486046,0.00003993659,0.00003637894,0.00005112778,0.00001022534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001557697,0.000026379,0.01747212,0.00009431713,0.00001790459,0.0001177241,0.0002022609,0.000802888,0.9566585,0.002930549,0.0001836263,0.02133792],"study_design_scores_gemma":[0.00001983678,0.0001283148,0.13771,0.00002871316,0.00005099458,0.0008403493,0.0004793692,0.01201356,0.8357064,0.002126386,0.01086088,0.00003519647],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8923417,0.002641832,0.09510336,0.0002899871,0.00003488749,0.00004744246,0.001439101,0.0003403205,0.00776139],"genre_scores_gemma":[0.9790297,0.001002777,0.0176209,0.00005397667,0.00001412353,0.000009872007,0.0004743691,0.0001082528,0.00168614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006005434,"threshold_uncertainty_score":0.01194096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007890492742049691,"score_gpt":0.1950024547667871,"score_spread":0.1871119620247374,"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."}}