{"id":"W2168520583","doi":"10.5194/tc-7-1565-2013","title":"Global glacier changes: a revised assessment of committed mass losses and sampling uncertainties","year":2013,"lang":"en","type":"article","venue":"The cryosphere","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":97,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Los Alamos National Laboratory; Biological and Environmental Research; National Nuclear Security Administration; Office of Science; U.S. Department of Energy","keywords":"Undersampling; Glacier; Ice caps; Climatology; Glacier mass balance; Global warming; Environmental science; Sampling (signal processing); Geology; Climate change; Physical geography; Geography; Oceanography; Computer science","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":[0.02044415,0.001428128,0.0007339708,0.003703356,0.0004004622,0.002600401,0.001211604,0.0008280022,0.0008007208],"category_scores_gemma":[0.05941684,0.0004280507,0.001389195,0.002615972,0.001438837,0.00328558,0.002392756,0.00105676,0.0001429791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001731538,"about_ca_system_score_gemma":0.0007069202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007838833,"about_ca_topic_score_gemma":0.006108909,"domain_scores_codex":[0.9917033,0.004169843,0.0007188048,0.001110608,0.002127817,0.0001695992],"domain_scores_gemma":[0.9645416,0.01538551,0.007054798,0.005072346,0.007518041,0.0004277003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0002251772,0.00005200957,0.3306507,0.0003548031,0.001877995,0.0002689089,0.001364426,0.4996878,0.001378995,0.02338891,0.003469407,0.1372809],"study_design_scores_gemma":[0.00005103231,0.0004202907,0.3553522,0.0006386608,0.0008199997,0.0009418492,0.0013009,0.5601887,0.003673344,0.05806847,0.01828738,0.0002571853],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.688431,0.004080966,0.2876323,0.002129778,0.0002149822,0.000261657,0.004349264,0.0005536442,0.01234641],"genre_scores_gemma":[0.9671445,0.0005729963,0.03048485,0.0001755501,0.00009299162,0.00007735781,0.0009469536,0.00007578385,0.0004289492],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02044415,"threshold_uncertainty_score":0.1081203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02811175490492655,"score_gpt":0.2579580545369909,"score_spread":0.2298462996320643,"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."}}