{"id":"W2050302112","doi":"10.1186/bf03352815","title":"Assessing intraplate earthquake hazards from satellite geopotential field observations","year":2008,"lang":"en","type":"article","venue":"Earth Planets and Space","topic":"earthquake and tectonic studies","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Kongju National University; National Science Foundation","keywords":"Intraplate earthquake; Lithosphere; Geology; Seismology; Geopotential; Gravity anomaly; Geophysics; Crust; Tectonics; Stress field; Satellite; Geodesy; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001162593,0.0001939812,0.0002481792,0.00006094682,0.0006005281,0.0001545593,0.0001017961,0.0001089428,0.001773633],"category_scores_gemma":[0.0000473244,0.0001626992,0.00005027957,0.0001366233,0.0001149761,0.0003775205,0.00001732052,0.000236712,0.0002104552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":8.454621e-7,"about_ca_system_score_gemma":0.00006081305,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008821232,"about_ca_topic_score_gemma":0.01268648,"domain_scores_codex":[0.9987727,0.00005887541,0.0002122192,0.0003382693,0.0002484191,0.0003694846],"domain_scores_gemma":[0.9991859,0.0003709493,0.00007422168,0.0001868727,0.00003000534,0.0001520263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003550296,0.00001359117,0.8213447,0.000008468047,0.0000716291,0.0002093937,0.0008421274,0.0001527376,0.0000560039,0.00006985584,0.001421327,0.1757747],"study_design_scores_gemma":[0.0003037051,0.0001022127,0.9505172,0.00002066061,0.00001792593,0.0000564742,0.0001723105,0.001062801,0.0001219504,0.0001774808,0.04723353,0.0002137506],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9848069,0.004636901,0.0001299067,0.0009326017,0.0003821339,0.0001085454,0.0001005197,0.00008296752,0.008819501],"genre_scores_gemma":[0.9931822,0.002933363,0.002164183,0.0005177658,0.0002561689,6.277804e-7,0.0002562637,0.000004822345,0.0006845462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1755609,"threshold_uncertainty_score":0.9991389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03526446627556386,"score_gpt":0.2282867417798406,"score_spread":0.1930222755042767,"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."}}