{"id":"W2990125181","doi":"10.1080/00206814.2019.1695229","title":"Ca. 780 Ma OIB-like mafic dykes in the Western Jiangnan orogenic Belt, South China: evidence for large-scale upwelling of asthenosphere beneath a post-orogenic setting","year":2019,"lang":"en","type":"article","venue":"International Geology Review","topic":"Geological and Geochemical Analysis","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Guangzhou Institute of Geochemistry, Chinese Academy of Sciences; China Geological Survey; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Mafic; Geology; Asthenosphere; Geochemistry; Zircon; Magmatism; Partial melting; Basalt; Mantle (geology); Subduction; Crust; Radiogenic nuclide; Lile; Petrology; Tectonics; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009554807,0.0001928488,0.0004676952,0.00004991363,0.00006571199,0.0000198283,0.0008029127,0.00009480045,0.008244175],"category_scores_gemma":[0.0002263244,0.0001185759,0.000332724,0.0002506762,0.00007173099,0.0001279295,0.00005903006,0.0002113176,0.000406323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006383795,"about_ca_system_score_gemma":0.00003826761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008755109,"about_ca_topic_score_gemma":0.005652165,"domain_scores_codex":[0.9981778,0.0001775053,0.0005707222,0.0004176833,0.0002929149,0.0003634109],"domain_scores_gemma":[0.998736,0.0005302721,0.0002742819,0.0002589305,0.0001437053,0.00005685466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004658748,0.00003879409,0.9928595,0.000354096,0.00008633448,0.00000768882,0.0003721537,0.0005395432,0.00002876237,0.0001028112,0.00007821765,0.005485534],"study_design_scores_gemma":[0.0009391166,0.0005047089,0.9552697,0.002735989,0.0003631849,0.0001840361,0.0006342409,0.01226937,0.00006545319,0.004806813,0.02165392,0.0005734699],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9143624,0.07900072,0.00008007369,0.005170082,0.0001749684,0.0004911874,0.000130021,0.00001348012,0.000577008],"genre_scores_gemma":[0.990564,0.005024412,0.0005131847,0.00283503,0.0000740848,0.00001717017,0.0003638802,0.000003821847,0.0006044012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07620156,"threshold_uncertainty_score":0.9926624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01839904867910629,"score_gpt":0.2591148422618756,"score_spread":0.2407157935827693,"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."}}