{"id":"W2981631412","doi":"10.1029/2019jb017875","title":"The Significance of Tomographic Edge Zones for Large Earthquakes in Taiwan","year":2019,"lang":"en","type":"article","venue":"Journal of Geophysical Research Solid Earth","topic":"earthquake and tectonic studies","field":"Earth and Planetary Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geological Survey of Canada; Natural Resources Canada","funders":"National Natural Science Foundation of China-Yunnan Joint Fund; Natural Sciences and Engineering Research Council of Canada","keywords":"Geology; Seismology; Tectonics; Seismotectonics; Seismic tomography; Crust; Geophysics; Mantle (geology)","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":[],"consensus_categories":[],"category_scores_codex":[0.002933574,0.0001288684,0.000448079,0.000250984,0.0002461635,0.00006686034,0.0004734346,0.00006035784,0.0001700971],"category_scores_gemma":[0.0006383238,0.00007751519,0.0002559379,0.00074945,0.0002732063,0.0002203888,0.00003179039,0.0006023588,0.00008145877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003717204,"about_ca_system_score_gemma":0.0002416702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002873713,"about_ca_topic_score_gemma":0.002763014,"domain_scores_codex":[0.9972989,0.0002932529,0.0005331217,0.0001890487,0.0009496283,0.0007360378],"domain_scores_gemma":[0.9965606,0.002289624,0.0002236302,0.0002460325,0.0005375238,0.0001426173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002015009,0.0004675406,0.8528341,0.0002771486,0.0003009251,0.00005499959,0.001766228,0.0006520388,0.001409456,0.007614493,0.001601827,0.1310063],"study_design_scores_gemma":[0.00104275,0.002041246,0.9738358,0.0001005028,0.000008147207,0.000005584242,0.001246589,0.00167963,0.0006174934,0.007488626,0.01181816,0.0001154136],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951608,0.001688586,0.00002820945,0.0009241881,0.0002553214,0.000445704,0.00003914741,0.000004540014,0.001453457],"genre_scores_gemma":[0.9985554,0.0004524414,0.0001460502,0.0000261724,0.0002667697,0.000003205921,0.000002584897,0.000005212225,0.0005421476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1308908,"threshold_uncertainty_score":0.3160978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03307738090649209,"score_gpt":0.3163455562020572,"score_spread":0.2832681752955651,"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."}}