{"id":"W4408131290","doi":"10.1093/gji/ggaf080","title":"MTUQ: a framework for estimating moment tensors, point forces, and their uncertainties","year":2025,"lang":"en","type":"article","venue":"Geophysical Journal International","topic":"earthquake and tectonic studies","field":"Earth and Planetary Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Geological Survey of Canada","funders":"Air Force Research Laboratory; University of Alaska Fairbanks; National Nuclear Security Administration; National Science Foundation","keywords":"Moment (physics); Inverse theory; Moment tensor; Point (geometry); Geology; Geophysics; Geodesy; Statistical physics; Mathematics; Classical mechanics; Geometry; Physics; Deformation (meteorology)","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":[0.0001693501,0.0001151372,0.0001623253,0.00007780586,0.0002931327,0.0001618849,0.0001642913,0.0000373637,0.0002310578],"category_scores_gemma":[0.0001742713,0.00007762689,0.00009779124,0.00007305387,0.00008019126,0.0001400365,0.00002658133,0.000206518,0.0000115338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009352624,"about_ca_system_score_gemma":0.00003557925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001414826,"about_ca_topic_score_gemma":0.00005527588,"domain_scores_codex":[0.9992668,0.00002073794,0.0002094243,0.0001512932,0.0001513561,0.0002003668],"domain_scores_gemma":[0.9991286,0.0005576587,0.00008713682,0.00005825223,0.0001097248,0.00005860371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002500793,0.0000809253,0.06852812,0.00005164947,0.000829478,0.00001411042,0.001352162,0.004858838,0.00003524061,0.08088637,0.00563866,0.8374743],"study_design_scores_gemma":[0.0006499176,0.0002298329,0.1800485,0.0002762689,0.00003112115,0.00005428846,0.001101254,0.1600309,0.00008465597,0.6425725,0.01470627,0.0002144663],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6555045,0.001762104,0.317051,0.01444524,0.003240163,0.0003048659,0.000150747,0.0000599692,0.007481379],"genre_scores_gemma":[0.9662676,0.00009396387,0.03160341,0.0007193339,0.0006920444,0.000003618848,0.00001651517,0.000002481069,0.0006009595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8372599,"threshold_uncertainty_score":0.3165533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01433942593753292,"score_gpt":0.2602141528098704,"score_spread":0.2458747268723375,"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."}}