{"id":"W4221036451","doi":"10.1002/essoar.10510873.1","title":"Spatio-Temporal Graph Convolutional Networks for Earthquake Source Characterization","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Los Alamos National Laboratory; Natural Sciences and Engineering Research Council of Canada","keywords":"National laboratory; World Wide Web; Preprint; Computer science; Graph; Physics; Engineering physics; Theoretical computer science","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00045365,0.000278851,0.0003463561,0.0001654097,0.0005946148,0.0001240332,0.0008132189,0.0002427984,0.0002614246],"category_scores_gemma":[0.00003612249,0.0002878901,0.000236936,0.0002108534,0.0001013816,0.0001669168,0.001561144,0.0005482061,0.00001402138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000359595,"about_ca_system_score_gemma":0.0001696985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007369893,"about_ca_topic_score_gemma":0.0000405304,"domain_scores_codex":[0.9981076,0.0001368224,0.0003732774,0.0007484324,0.0002515326,0.000382324],"domain_scores_gemma":[0.9987634,0.0001678775,0.0002729171,0.0005738314,0.0001536027,0.00006836358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003111335,0.0005170792,0.1285458,0.0003192515,0.001232097,0.00003003161,0.002969727,0.2595453,0.00001727113,0.4280141,0.03629267,0.1422056],"study_design_scores_gemma":[0.0006142352,0.0001728467,0.2231242,0.00002442272,0.0000372195,0.00001500919,0.00004389131,0.4962349,0.00001123482,0.0174912,0.2614909,0.000740016],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0289159,0.0002087206,0.9633616,0.002804718,0.003224303,0.0006217467,0.00005323887,0.0003618853,0.0004478559],"genre_scores_gemma":[0.9638398,0.00009105053,0.02285674,0.002540437,0.0006186965,0.0006586433,0.003198864,0.00002738157,0.006168442],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9405049,"threshold_uncertainty_score":0.9999573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02198967892027981,"score_gpt":0.2411260583856992,"score_spread":0.2191363794654194,"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."}}