{"id":"W4322209025","doi":"10.5194/egusphere-egu23-14706","title":"Moho Inversion of East China Sea and Its Adjacent Areas Based on Potential Field Data","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Geological and Geophysical Studies","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Geology; Inversion (geology); Moho; Gravity anomaly; Bouguer anomaly; Seismology; Tectonics; Geodesy; Terrain; Potential field; Structural basin; Trough (economics); Geophysics; Geomorphology; Paleontology; Oil field; Geography","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":[0.0001203353,0.000165807,0.000266623,0.0000418673,0.00008482725,0.00002193753,0.0003808703,0.0001292693,0.001581483],"category_scores_gemma":[0.0001360428,0.000103681,0.00005596314,0.00008243309,0.00004627757,0.00003575193,0.0005618919,0.0002566836,0.0003133819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":8.828664e-7,"about_ca_system_score_gemma":0.00001791282,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006849198,"about_ca_topic_score_gemma":0.001332483,"domain_scores_codex":[0.9988537,0.00004888847,0.0001545071,0.0004768727,0.0002809847,0.000185048],"domain_scores_gemma":[0.9993317,0.0001531933,0.00006983492,0.0003200702,0.00002498601,0.0001001796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001005407,0.0004217251,0.6892607,0.001307876,0.0002964569,0.0001295384,0.0001663986,0.1144442,0.00001296443,0.0001595181,0.02832025,0.1644749],"study_design_scores_gemma":[0.0001319532,0.0002021447,0.6039478,0.00005943726,0.00002355554,2.276699e-7,0.00002109318,0.3932321,0.00003322948,0.002056339,0.0001626393,0.0001294792],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9614507,0.0003767079,0.0002086635,0.01599327,0.001079249,0.0005101963,0.00208537,0.0001322346,0.01816364],"genre_scores_gemma":[0.9976814,0.0002534558,0.0001064318,0.0003243106,0.0000999543,6.504328e-7,0.0008466092,0.000001616036,0.000685535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2787879,"threshold_uncertainty_score":0.9997643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05364220379392083,"score_gpt":0.2257127282712766,"score_spread":0.1720705244773558,"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."}}