{"id":"W2998131968","doi":"10.1029/2019wr025706","title":"Linking Mountain Glacier Retreat and Hydrological Changes in Southwestern Yukon","year":2020,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Glacier; Watershed; Climate change; Glacier mass balance; Glacier terminus; Surface runoff; Physical geography; Geology; Hydrology (agriculture); Environmental science; Climatology; Geomorphology; Geography; Oceanography; Ecology; Cryosphere","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000588615,0.00009736505,0.0001527536,0.00005526662,0.0002641284,0.0001322226,0.0001916797,0.000072692,0.0009620519],"category_scores_gemma":[0.00005990806,0.00005957379,0.00001926985,0.0003103733,0.0001757129,0.00006307866,0.0001180906,0.0003271381,0.0001576411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005576045,"about_ca_system_score_gemma":0.000004594417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002564449,"about_ca_topic_score_gemma":0.008294843,"domain_scores_codex":[0.9984723,0.0001767347,0.0001316959,0.0003312853,0.0003752169,0.0005127713],"domain_scores_gemma":[0.9995443,0.0001623927,0.00001229798,0.0001073696,0.00003031709,0.0001433226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006813149,0.000004518281,0.9729066,0.00002111704,0.000005636371,0.00004872197,0.01002793,0.0002506976,0.0001413185,0.000003250973,0.00004113958,0.01648097],"study_design_scores_gemma":[0.0002929118,0.0003263856,0.8682455,0.00001796534,0.000002673819,0.000003484184,0.001779891,0.01190558,0.0001121757,0.0002450059,0.1169437,0.0001247276],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855052,0.0008245638,0.000003154913,0.01233022,0.00001897778,0.000157645,0.0000115612,0.00002567474,0.001123059],"genre_scores_gemma":[0.9985566,0.0002034198,0.000062931,0.0005548415,0.0002391783,0.000003910614,0.00003226886,0.000003901422,0.0003430118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1169026,"threshold_uncertainty_score":0.9999512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09325759686174477,"score_gpt":0.2870666627868451,"score_spread":0.1938090659251003,"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."}}