{"id":"W2904915630","doi":"10.1029/2018jb016199","title":"Thermal, Deformation, and Degassing Remote Sensing Time Series (CE 2000–2017) at the 47 most Active Volcanoes in Latin America: Implications for Volcanic Systems","year":2018,"lang":"en","type":"article","venue":"Journal of Geophysical Research Solid Earth","topic":"Earthquake Detection and Analysis","field":"Earth and Planetary Sciences","cited_by":102,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Comisión Nacional de Investigación Científica y Tecnológica; Natural Environment Research Council; Canadian Space Agency; Agenzia Spaziale Italiana; Sight Research UK; Leverhulme Trust; European Space Agency; National Aeronautics and Space Administration; U.S. Geological Survey; NERC Environmental Bioinformatics Centre; National Science Foundation","keywords":"Volcano; Geology; Volcanism; Satellite; Seismology; Magma; Earth science; Lava; Tectonics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009989919,0.0001175412,0.0002851048,0.0002220233,0.0008527173,0.0002389594,0.0001720701,0.00005290535,0.0001166813],"category_scores_gemma":[0.0004945918,0.00007465025,0.00008920158,0.0007747827,0.0004918691,0.0005105284,0.000031138,0.0003704601,0.0001156556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002826392,"about_ca_system_score_gemma":0.0002331215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002150434,"about_ca_topic_score_gemma":0.004243123,"domain_scores_codex":[0.9982061,0.0003765517,0.0003926418,0.0001722043,0.0004350799,0.0004174634],"domain_scores_gemma":[0.9979202,0.0007545981,0.0002629909,0.0001858446,0.0006978472,0.0001784904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001346566,0.00006993242,0.01125298,0.00008612104,0.0003206507,0.00002063511,0.004730358,0.007831475,0.02656594,0.00005925857,0.003426956,0.9442891],"study_design_scores_gemma":[0.0005178551,0.001043998,0.6464142,0.0001384836,0.00003879791,0.0001104414,0.001789358,0.3367727,0.001641589,0.0009325298,0.0103919,0.0002081542],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995621,0.0002112535,0.0008603891,0.002051987,0.00007217636,0.0002271014,0.0000544034,0.000008798066,0.0008928733],"genre_scores_gemma":[0.9974148,0.0001264525,0.0005032723,0.00008699322,0.0004827893,4.209088e-7,0.0000128322,0.000005970556,0.001366517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9440809,"threshold_uncertainty_score":0.6558498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03396296033899825,"score_gpt":0.3060763205992533,"score_spread":0.2721133602602551,"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."}}