{"id":"W1969744663","doi":"10.1002/2014eo020001","title":"Seismic Network in Greenland Monitors Earth and Ice System","year":2014,"lang":"en","type":"article","venue":"Eos","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"Helmholtz-Zentrum Potsdam - Deutsches GeoForschungsZentrum GFZ; Nationale Geologiske Undersøgelser for Danmark og Grønland; Japan Society for the Promotion of Science; Centre National de la Recherche Scientifique; National Science Foundation","keywords":"Geology; Meltwater; Greenland ice sheet; Glacier; Climatology; Ice sheet; Antarctic sea ice; Sea ice; Cryosphere; Ice-sheet model; Ice divide; Arctic ice pack; Ice stream; Future sea level; Climate change; Ice-albedo feedback; Physical geography; Oceanography; Geomorphology; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005479719,0.0006796204,0.0002857987,0.002235523,0.0003536875,0.0006140753,0.000505799,0.0002647114,0.01151202],"category_scores_gemma":[0.001158799,0.0001754224,0.0001234531,0.003173846,0.0001256695,0.0005087,0.0009929294,0.0004807828,0.005874195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001301049,"about_ca_system_score_gemma":0.002279692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1439335,"about_ca_topic_score_gemma":0.2053436,"domain_scores_codex":[0.9996567,0.00005465038,0.00003741576,0.00008191704,0.0001030814,0.00006622542],"domain_scores_gemma":[0.9989212,0.00005244502,0.000209925,0.00006184745,0.0005822405,0.0001724891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001835297,0.0001376932,0.350019,0.0002741354,0.0001158751,0.0001637492,0.0008821873,0.001218851,0.001894745,0.002239171,0.5281573,0.1147137],"study_design_scores_gemma":[0.00005149188,0.00004596554,0.7116644,0.0001610037,0.00003165387,0.00008038505,0.001118933,0.002178401,0.0005985592,0.0007462617,0.2833036,0.00001936914],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.09973601,0.0007039093,0.002277819,0.001203487,0.0002037803,0.0003846098,0.8263285,0.001101135,0.06806075],"genre_scores_gemma":[0.2068039,0.001194357,0.008373685,0.0009760367,0.0001654509,0.001136654,0.7284888,0.0003330881,0.05252814],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1439335,"threshold_uncertainty_score":0.2861914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01094941482155952,"score_gpt":0.1843868284151778,"score_spread":0.1734374135936183,"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."}}