{"id":"W4392598237","doi":"10.5194/egusphere-egu24-3133","title":"Cryosphere-fed rivers in a warming climate, 1950-205","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Cryosphere; Environmental science; Climatology; Climate change; Physical geography; Atmospheric sciences; Geology; Geography; Oceanography; Sea ice","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":[0.0002568281,0.0002260198,0.00009828751,0.0002857306,0.0004762371,0.001131325,0.0001937855,0.0003490075,0.002265124],"category_scores_gemma":[0.0003908305,0.00009202417,0.0003010604,0.000629168,0.0003115756,0.000698215,0.0004969659,0.0003238577,0.0003178571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001298288,"about_ca_system_score_gemma":0.0008446759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04263796,"about_ca_topic_score_gemma":0.05593697,"domain_scores_codex":[0.9999233,0.00001591833,0.000004125586,0.00002236571,0.00001346774,0.00002067607],"domain_scores_gemma":[0.9998902,0.000008034966,0.00003547439,0.000006914469,0.0000322512,0.00002700361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002418764,0.0001086144,0.8088074,0.0003129418,0.0003329965,0.001061149,0.001377016,0.04282405,0.003612217,0.03786463,0.04169524,0.06176181],"study_design_scores_gemma":[0.00001643508,0.00009638479,0.8992555,0.0001482715,0.0002017494,0.0002689029,0.001628579,0.02088231,0.000892759,0.00601376,0.07055406,0.00004134719],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9595101,0.002709201,0.003327947,0.003770192,0.0001939724,0.00002161562,0.01079073,0.0001585263,0.01951771],"genre_scores_gemma":[0.9930043,0.001040836,0.0008428095,0.0006250128,0.00005278198,0.00002294666,0.002542373,0.00001115791,0.00185784],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04263796,"threshold_uncertainty_score":0.08477956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02461579967843205,"score_gpt":0.2388085408844177,"score_spread":0.2141927412059857,"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."}}