{"id":"W3100410436","doi":"10.1038/s41467-020-19541-y","title":"Stagnant forearc mantle wedge inferred from mapping of shear-wave anisotropy using S-net seafloor seismometers","year":2020,"lang":"en","type":"article","venue":"Nature Communications","topic":"High-pressure geophysics and materials","field":"Earth and Planetary Sciences","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geological Survey of Canada","funders":"Japan Society for the Promotion of Science; Ministry of Education, Culture, Sports, Science and Technology","keywords":"Geology; Forearc; Mantle wedge; Seismic anisotropy; Subduction; Seismology; Seafloor spreading; Mantle (geology); Anisotropy; Shear wave splitting; Geophysics; Slab; Shear (geology); Tectonics; Petrology; Physics","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":[0.0001111098,0.0001991562,0.0001137399,0.001067139,0.0001086812,0.0002628145,0.0001684588,0.0001401733,0.0005235047],"category_scores_gemma":[0.0002286542,0.000129514,0.0001003712,0.0007088285,0.0001303885,0.0002134286,0.0002506218,0.00009720324,0.0001145471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000136985,"about_ca_system_score_gemma":0.0001974507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00725426,"about_ca_topic_score_gemma":0.01831274,"domain_scores_codex":[0.9999577,0.000004216459,0.000003232649,0.00001279102,0.00001044334,0.00001161037],"domain_scores_gemma":[0.9998944,0.00000914097,0.00003186158,0.000008850046,0.00002755298,0.0000282698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002842241,0.00005000255,0.7249662,0.00006818289,0.00005399114,0.0004632903,0.0004260657,0.002973286,0.2421868,0.0003840547,0.0002906082,0.02785329],"study_design_scores_gemma":[0.00001064584,0.00003029287,0.9839064,0.000007551258,0.00002289762,0.0001089996,0.0001527721,0.008708118,0.006480934,0.00007914221,0.0004851512,0.000007049921],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986544,0.00004531272,0.0005643949,0.000006342214,0.000001027358,0.000002332578,0.0002245642,0.00002148502,0.0004801563],"genre_scores_gemma":[0.9985338,0.00003935139,0.0009599536,0.000002608344,0.000001341076,0.000002139171,0.000335245,0.000002933759,0.0001226611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00725426,"threshold_uncertainty_score":0.01442409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06643625572188691,"score_gpt":0.263637697034273,"score_spread":0.1972014413123861,"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."}}