{"id":"W1653493425","doi":"","title":"Modeling the Response of Glaciers to Climate Change in the Upper North Saskatchewan River Basin","year":2010,"lang":"en","type":"article","venue":"AGUFM","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Glacier; Structural basin; Climate change; Glacial period; Watershed; Drainage basin; Streamflow; Hydrology (agriculture); Snow; Climatology; Precipitation; Hydrological modelling; Physical geography; Geology; Environmental science; Geography; Geomorphology; Meteorology; Oceanography; Cartography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002557017,0.0004476204,0.0002515386,0.0004631052,0.0007434697,0.001298194,0.0008600455,0.0006440817,0.002278717],"category_scores_gemma":[0.0006180942,0.0002903861,0.0004132135,0.0009219408,0.0003218662,0.0004892836,0.0005016761,0.000401101,0.0002312543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009860143,"about_ca_system_score_gemma":0.008879967,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8696622,"about_ca_topic_score_gemma":0.9301131,"domain_scores_codex":[0.9998645,0.00003236773,0.000006947221,0.00002774813,0.00002079167,0.00004771958],"domain_scores_gemma":[0.9998307,0.00005449293,0.00002089389,0.00001246686,0.00005640284,0.00002507678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005606929,0.0000564919,0.07479297,0.00003640695,0.0001223091,0.0001693031,0.0001175916,0.9115469,0.001992771,0.001138396,0.001590256,0.008380582],"study_design_scores_gemma":[0.0000451473,0.00003514003,0.07462929,0.00003142102,0.0000761566,0.0000295145,0.0005732641,0.9183807,0.001039212,0.001396608,0.003723152,0.00004034815],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838905,0.0002514724,0.002378848,0.0004581665,0.0000233793,0.00006976055,0.002571189,0.0001312912,0.01022536],"genre_scores_gemma":[0.9917303,0.0002709902,0.001851154,0.00009947109,0.000005445913,0.00006257316,0.0008880833,0.00001989037,0.005072186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1303378,"threshold_uncertainty_score":0.2622108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02857079207005205,"score_gpt":0.2367464442790623,"score_spread":0.2081756522090102,"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."}}