{"id":"W2804276086","doi":"10.1029/2018gl077879","title":"Numerical Modeling of Dynamically Triggered Shallow Slow Slip Events in New Zealand by the 2016 <i>M</i><sub><i>w</i></sub> 7.8 Kaikoura Earthquake","year":2018,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"earthquake and tectonic studies","field":"Earth and Planetary Sciences","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Royal Society Te Apārangi; National Science Foundation","keywords":"Subduction; Perturbation (astronomy); Slip (aerodynamics); Amplitude; Geology; Dynamic stress; Seismology; Geotechnical engineering; Physics; Dynamic loading; Tectonics; Structural engineering; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002699783,0.0006100746,0.0004718202,0.0003631972,0.0005185419,0.0009912552,0.001241665,0.00129438,0.002339806],"category_scores_gemma":[0.001428206,0.0004931072,0.000599281,0.0003344344,0.001091425,0.0006254876,0.0006879662,0.0006874828,0.0001567278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001789699,"about_ca_system_score_gemma":0.001245547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.256514,"about_ca_topic_score_gemma":0.1307281,"domain_scores_codex":[0.9999107,0.00001623197,0.000006976577,0.00001996713,0.00001424222,0.00003186173],"domain_scores_gemma":[0.9995891,0.0001416391,0.00008983942,0.00002159879,0.00008340838,0.00007433161],"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":[0.0001556344,0.0001300163,0.02104698,0.00002529381,0.00004819586,0.0002745943,0.00007128364,0.9743367,0.001772095,0.000540255,0.0002566127,0.001342419],"study_design_scores_gemma":[0.00007414303,0.00005465479,0.007362136,0.000005879649,0.00002123401,0.00001510398,0.00009397296,0.9918731,0.000180734,0.0001425388,0.0001644408,0.00001208094],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949695,0.00005470336,0.001069546,0.0001671343,0.00001736006,0.00002682565,0.0002489202,0.00002810211,0.003417976],"genre_scores_gemma":[0.998659,0.00004391692,0.0006069132,0.00001630605,0.000003536729,0.00001585345,0.0001340918,0.00000859642,0.0005117789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.256514,"threshold_uncertainty_score":0.5100417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02575410277739913,"score_gpt":0.2636020691499413,"score_spread":0.2378479663725421,"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."}}