{"id":"W3192200537","doi":"","title":"The significance of tomographic edge zones for large earthquakes in Taiwan","year":2019,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"earthquake and tectonic studies","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Geological Survey of Canada; Natural Resources Canada","funders":"","keywords":"Geology; Seismology","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":[0.001033435,0.000137899,0.0002283532,0.00007312312,0.0001883813,0.00003819866,0.0002342633,0.00006341643,0.0000169677],"category_scores_gemma":[0.0002765026,0.00009561242,0.0000948281,0.0002313157,0.00007205908,0.00009624894,0.00001160775,0.0001463019,0.00007104226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001819125,"about_ca_system_score_gemma":0.00004401235,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005573596,"about_ca_topic_score_gemma":0.1515319,"domain_scores_codex":[0.9986429,0.00005176403,0.0003778707,0.0002500151,0.0002087969,0.000468687],"domain_scores_gemma":[0.9984248,0.001054859,0.0001878026,0.0002201202,0.00006285915,0.00004960418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004271614,0.00002096226,0.9886113,0.0000539465,0.00002169893,0.000002620602,0.0003586509,0.001619131,0.00003486093,0.0001777609,0.0001066081,0.008949768],"study_design_scores_gemma":[0.0004280164,0.0001482547,0.9906917,0.0000801675,0.000008106548,0.000001363949,0.000968456,0.0005377054,0.0001876346,0.0006085649,0.00620369,0.0001363093],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.982251,0.002379238,0.000002849483,0.0003548134,0.0003469579,0.0004463838,0.00004024047,0.00002706624,0.01415137],"genre_scores_gemma":[0.9992795,0.0001210146,0.0002229,0.00005739218,0.00006447263,0.000007010354,0.00001389294,0.000005031652,0.0002287805],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1459583,"threshold_uncertainty_score":0.8639504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01511803184473724,"score_gpt":0.2256853974146882,"score_spread":0.2105673655699509,"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."}}