{"id":"W2788849294","doi":"10.5194/tc-12-2211-2018","title":"Greenland Ice Mapping Project: ice flow velocity variation at sub-monthly to decadal timescales","year":2018,"lang":"en","type":"article","venue":"˜The œcryosphere","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":133,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Japan Aerospace Exploration Agency; Canadian Space Agency; U.S. Geological Survey; European Commission; European Space Agency; National Aeronautics and Space Administration","keywords":"Glacier; Greenland ice sheet; Geology; Groenlandia; Climatology; Ice sheet; Climate change; Physical geography; Oceanography; Geomorphology; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001130529,0.000593468,0.0002483688,0.002760288,0.0001962612,0.000861189,0.0003974989,0.0002420537,0.002319584],"category_scores_gemma":[0.001293848,0.0001576715,0.0002651941,0.004118606,0.000135937,0.0007681945,0.0006981306,0.0004673176,0.001064313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005977309,"about_ca_system_score_gemma":0.0008383747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07079987,"about_ca_topic_score_gemma":0.09146684,"domain_scores_codex":[0.9997894,0.00002933217,0.00002442716,0.00005457893,0.00006757497,0.00003471151],"domain_scores_gemma":[0.9991429,0.00007639557,0.0002627033,0.0001335131,0.0002938672,0.00009055922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002374895,0.0001639239,0.4617941,0.0005191493,0.0004778447,0.0002995886,0.001140369,0.01388657,0.004316759,0.002088952,0.3115857,0.2034896],"study_design_scores_gemma":[0.00003942846,0.00002423728,0.8312055,0.0002013898,0.00004533992,0.0000976847,0.0003771291,0.008222155,0.001310373,0.0008472918,0.1575903,0.00003915962],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2675198,0.002016275,0.009335955,0.001465735,0.0004610457,0.0003022358,0.6981154,0.002708213,0.01807525],"genre_scores_gemma":[0.2631518,0.001389816,0.04417146,0.0004030766,0.0002780634,0.0004753509,0.682851,0.001334894,0.005944689],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07079987,"threshold_uncertainty_score":0.1407756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02213269461259174,"score_gpt":0.2224881446260152,"score_spread":0.2003554500134235,"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."}}