{"id":"W4401012228","doi":"10.22541/essoar.172202798.82044672/v1","title":"PEGSGraph: a Graph Neural Network for fast earthquake characterization based on Prompt ElastoGravity Signals","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Seismology; Characterization (materials science); Artificial neural network; Graph; Computer science; Geology; Artificial intelligence; Materials science; Theoretical computer science; Nanotechnology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001798105,0.001168789,0.0004589514,0.0007594379,0.0001975388,0.0004383652,0.001190303,0.0006988845,0.002023915],"category_scores_gemma":[0.000715692,0.0003067781,0.0004662079,0.0005431708,0.0002985485,0.0008345271,0.0006041192,0.0007342751,0.0005543238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007658336,"about_ca_system_score_gemma":0.0007699156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01976559,"about_ca_topic_score_gemma":0.03054528,"domain_scores_codex":[0.999916,0.00000939355,0.000004020264,0.00003503513,0.00002027602,0.00001527623],"domain_scores_gemma":[0.9998764,0.00004084438,0.00002102164,0.00001666273,0.00003118355,0.00001384197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002806404,0.00016566,0.004051491,0.0001736845,0.0001588368,0.0001880166,0.00004273532,0.6367885,0.01034218,0.003154163,0.01470691,0.3299471],"study_design_scores_gemma":[0.000007312332,0.00003108858,0.0004249675,0.000006071724,0.00001038541,0.00001642152,0.000004975495,0.995988,0.001390813,0.001190733,0.0009230705,0.000006115722],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1570369,0.002603324,0.8114349,0.0008404311,0.0003423564,0.000216152,0.004536868,0.01677866,0.006210371],"genre_scores_gemma":[0.7890689,0.001109483,0.1894109,0.0005517912,0.00008940936,0.000199558,0.009226415,0.0003633266,0.009980182],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01976559,"threshold_uncertainty_score":0.0393011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02160420031129538,"score_gpt":0.2516796303341904,"score_spread":0.230075430022895,"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."}}