{"id":"W3147010546","doi":"10.1093/petrology/egab028","title":"Partial melting of granodiorite: insights from ediacaran granulite-facies metamorphism in Southern Brazil","year":2021,"lang":"en","type":"article","venue":"Journal of Petrology","topic":"Geological and Geochemical Analysis","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Partial melting; Granulite; Geology; Migmatite; Geochemistry; Felsic; Protolith; Metamorphism; Biotite; Anatexis; Plagioclase; Metamorphic facies; Gneiss; Facies; Petrology; Mineralogy; Metamorphic rock; Crust; Geomorphology; Mafic; Quartz","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002517827,0.000113607,0.0005837235,0.0001359257,0.00003808472,0.00001321685,0.0002019922,0.0001160698,0.004880806],"category_scores_gemma":[0.000300285,0.00007617045,0.0002638481,0.0003297734,0.0001438203,0.00009402385,0.00001895746,0.0003287957,0.0000411254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002572015,"about_ca_system_score_gemma":0.00004516269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002135897,"about_ca_topic_score_gemma":0.007384757,"domain_scores_codex":[0.9984744,0.0002255538,0.0006511866,0.0001640615,0.0002663643,0.0002184675],"domain_scores_gemma":[0.9989111,0.0003950096,0.0003346975,0.000102599,0.0001446628,0.0001119222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001396932,0.00005845712,0.9808059,0.000006243077,0.0001074804,0.000269846,0.0005517639,0.001312565,0.01410572,0.0000361231,0.00002753552,0.002578663],"study_design_scores_gemma":[0.001386388,0.0003180035,0.9421863,0.00002155072,0.0002224282,0.00007665663,0.0009771477,0.001590233,0.007423787,0.04392257,0.001683686,0.0001912419],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992887,0.005064503,0.0000660935,0.001153256,0.0002539056,0.00001458945,0.00003959805,0.000003648415,0.0005173796],"genre_scores_gemma":[0.9987102,0.0001063488,0.0005982928,0.0002536504,0.0002600084,1.282347e-7,0.00003080744,0.000001437744,0.0000391016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04388645,"threshold_uncertainty_score":0.9960288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01014602857474883,"score_gpt":0.2044167671935284,"score_spread":0.1942707386187796,"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."}}