{"id":"W4365514438","doi":"10.1017/aog.2023.14","title":"Contribution of glaciers to water, energy and food security in mountain regions: current perspectives and future priorities","year":2022,"lang":"en","type":"article","venue":"Annals of Glaciology","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia","funders":"Natural Environment Research Council; Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica; Global Challenges Research Fund; Sight Research UK; Quaternary Research Association; Newton Fund","keywords":"Meltwater; Glacier; Glacial period; Water security; Resource (disambiguation); Climate change; Food security; Sediment; Environmental science; Environmental resource management; Hydrology (agriculture); Water resources; Geology; Water resource management; Physical geography; Geography; Oceanography; Geomorphology; Ecology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002164457,0.00006240992,0.0001811178,0.00004858015,0.0001014512,0.000003223415,0.00005433368,0.00002512145,0.00007074988],"category_scores_gemma":[0.00003393034,0.00005030253,0.00002151611,0.0001072244,0.0001309984,0.00004628965,0.00004209038,0.00006227278,1.181574e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003411297,"about_ca_system_score_gemma":0.00001377068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001028187,"about_ca_topic_score_gemma":0.00289273,"domain_scores_codex":[0.9993711,0.0001049229,0.0001540052,0.0001434162,0.00006829007,0.0001582297],"domain_scores_gemma":[0.9997116,0.00008235879,0.00004610818,0.00006094649,0.00006382097,0.0000351794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004343987,0.00009327596,0.858804,0.00005127898,0.00009702073,0.000002972357,0.03254725,0.0003486846,0.00007448343,0.0860651,0.001591213,0.01989032],"study_design_scores_gemma":[0.0004447521,0.001610229,0.7616797,0.000007797606,0.00001032741,0.000008657152,0.03911491,0.0003040902,0.0001029075,0.02615524,0.1704214,0.0001400133],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.964101,0.03062859,0.00001485707,0.004906157,0.0001196773,0.00008088977,0.0001126297,0.000004153268,0.00003203783],"genre_scores_gemma":[0.9912901,0.00837441,0.00001860618,0.0002226907,0.00004335522,0.000004852134,0.00004070033,9.414689e-7,0.000004381114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1688302,"threshold_uncertainty_score":0.2051278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02573829757789484,"score_gpt":0.2616726871164723,"score_spread":0.2359343895385775,"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."}}