{"id":"W3034574229","doi":"10.1111/jmg.12552","title":"Quantitative elemental mapping of granulite‐facies monazite: Textural insights and implications for petrochronology","year":2020,"lang":"en","type":"article","venue":"Journal of Metamorphic Geology","topic":"Geological and Geochemical Analysis","field":"Earth and Planetary Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geological Survey of Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Monazite; Granulite; Geology; Metamorphism; Geochemistry; Metamorphic rock; Trace element; Mineralogy; Facies; Zircon; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001756439,0.000108884,0.0004671092,0.0001134991,0.00007455001,0.000007618132,0.0001909353,0.00007050976,0.0008945499],"category_scores_gemma":[0.0003280302,0.00007137412,0.0001649106,0.0002223195,0.0003014597,0.0001032032,0.00002419935,0.0001599649,0.000008201467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001760709,"about_ca_system_score_gemma":0.00002564455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001101594,"about_ca_topic_score_gemma":0.0002097494,"domain_scores_codex":[0.9989598,0.00008606798,0.0005180769,0.0001574668,0.00009202179,0.0001865405],"domain_scores_gemma":[0.9987561,0.000442957,0.0004107162,0.00005746428,0.0001985549,0.0001342624],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003401554,0.0000509922,0.9506111,0.00007634481,0.000485036,0.00001165547,0.0008914848,0.0008156873,0.03238785,0.005614922,0.0003679553,0.008346818],"study_design_scores_gemma":[0.0007497777,0.001634765,0.9316045,0.000005827386,0.0001597885,0.0001194198,0.0007987091,0.003109677,0.000724569,0.05814155,0.002824477,0.0001269071],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9764572,0.005529566,0.002969953,0.01473358,0.00005557208,0.00008047812,0.00003377808,0.000004669684,0.0001351813],"genre_scores_gemma":[0.9903263,0.0002320358,0.008798215,0.0005342532,0.00006326261,9.030784e-7,0.00003145434,0.000001224658,0.00001228241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05252663,"threshold_uncertainty_score":0.9794695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04325286515005979,"score_gpt":0.2439096286187263,"score_spread":0.2006567634686665,"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."}}