{"id":"W4297491800","doi":"10.1016/j.epsl.2022.117816","title":"Formation of carbon-bearing silicate melts by melt-metacarbonate interaction at convergent plate margins","year":2022,"lang":"en","type":"article","venue":"Earth and Planetary Science Letters","topic":"Geological and Geochemical Analysis","field":"Earth and Planetary Sciences","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"National Key Research and Development Program of China; Youth Innovation Promotion Association of the Chinese Academy of Sciences; National Natural Science Foundation of China; State Key Laboratory of Lithospheric Evolution; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Silicate; Geology; Anatexis; Partial melting; Carbon fibers; Geochemistry; Protolith; Mineral redox buffer; Metamorphic facies; Mineralogy; Metamorphic rock; Mantle (geology); Materials science; Facies; Chemistry; Geomorphology; Composite material","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002096159,0.0002670545,0.0004330802,0.0006688856,0.0008776873,0.001133824,0.0004449681,0.0007789354,0.002923029],"category_scores_gemma":[0.000602008,0.0004651536,0.0003296665,0.0002576411,0.0009342071,0.0004600546,0.0008486814,0.0003631034,0.0004802089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001245371,"about_ca_system_score_gemma":0.0006571427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01481716,"about_ca_topic_score_gemma":0.01841615,"domain_scores_codex":[0.9998717,0.000006481142,0.000009604722,0.00004340306,0.00003417148,0.00003448731],"domain_scores_gemma":[0.9997781,0.00005223144,0.00005127754,0.00001888255,0.0000615785,0.00003796691],"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":[0.0008996694,0.00003835217,0.1538207,0.0001085089,0.00006861084,0.0007352927,0.0006991999,0.003936904,0.8342184,0.001467939,0.0001085497,0.00389786],"study_design_scores_gemma":[0.00006923895,0.0001396547,0.8878309,0.00001749358,0.00004490571,0.0002386498,0.0005754337,0.00759274,0.1021857,0.0003888198,0.0008907252,0.00002573186],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983803,0.00005640729,0.00008950292,0.00001885824,0.000002098129,0.000002391917,0.00003906001,0.000008662598,0.001402744],"genre_scores_gemma":[0.9994859,0.00002148145,0.00006473049,0.000006691067,0.000002213821,0.000002150038,0.00003801547,0.000007058911,0.000371784],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01481716,"threshold_uncertainty_score":0.0294618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00900057845783874,"score_gpt":0.174333011213185,"score_spread":0.1653324327553462,"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."}}