{"id":"W1852646792","doi":"10.1029/2011tc002886","title":"A three‐dimensional Moho depth model for the Tien Shan from EGM2008 gravity data","year":2011,"lang":"en","type":"article","venue":"Tectonics","topic":"High-pressure geophysics and materials","field":"Earth and Planetary Sciences","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Geology; Lithosphere; Terrane; Seismology; Subduction; Gravity anomaly; Crust; Inversion (geology); Structural basin; Mantle (geology); Discontinuity (linguistics); Isostasy; Tectonics; Geodesy; Geophysics; Geomorphology; Paleontology","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":[],"consensus_categories":[],"category_scores_codex":[0.0002831178,0.0001218081,0.0001540198,0.00001428607,0.000215746,0.0000421054,0.0007485043,0.00005980573,0.0007246005],"category_scores_gemma":[0.00002527274,0.0000759601,0.000041075,0.00005377192,0.00006292712,0.000155363,0.00009198201,0.00007639424,0.0001307363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001429897,"about_ca_system_score_gemma":0.00007414036,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01343333,"about_ca_topic_score_gemma":0.0233084,"domain_scores_codex":[0.9990956,0.00001641947,0.0001482284,0.0003019061,0.0001838173,0.0002539997],"domain_scores_gemma":[0.9989512,0.0001493727,0.00006669526,0.000730345,0.00003361464,0.00006875019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004600334,0.001251529,0.1507925,0.0003074272,0.002800085,0.0001088411,0.01200798,0.1758838,0.01044068,0.0255539,0.2152828,0.4009702],"study_design_scores_gemma":[0.0002334277,0.00004591261,0.05418902,0.000005840409,0.00006854792,0.000001232822,0.000007513228,0.9108976,0.0002632039,0.03086772,0.003260009,0.0001600075],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9573599,0.001152692,0.02620495,0.0002024596,0.001260418,0.0008339744,0.01101478,0.0001335609,0.00183723],"genre_scores_gemma":[0.9880091,0.00001851527,0.01067166,0.0001808143,0.0001450457,0.000003952753,0.0008863875,0.000006288295,0.00007823683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7350138,"threshold_uncertainty_score":0.9945137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1065255029273598,"score_gpt":0.2485623354463946,"score_spread":0.1420368325190348,"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."}}