{"id":"W2507749219","doi":"","title":"Incorporation of Glacier Mass Balance Modelling in the Variable Infiltration Capacity Hydrology Model, with Application to Western Canada","year":2014,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Infiltration (HVAC); Hydrology (agriculture); Glacier; Glacier mass balance; Water balance; Environmental science; Balance (ability); Geology; Geomorphology; Geotechnical engineering; Meteorology; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004233398,0.0007979893,0.0005971523,0.0004709476,0.001463275,0.001843036,0.001705752,0.001094573,0.003815636],"category_scores_gemma":[0.00168817,0.0004351823,0.0006911956,0.000916281,0.0005076666,0.0009137879,0.0005877533,0.0008442698,0.0003210262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01171587,"about_ca_system_score_gemma":0.0159952,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9804409,"about_ca_topic_score_gemma":0.9716704,"domain_scores_codex":[0.9998302,0.00003085189,0.000008897317,0.00004010429,0.00004553078,0.00004425694],"domain_scores_gemma":[0.9994566,0.0001272399,0.00003501503,0.00002543652,0.0002962424,0.00005947051],"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":[0.00008807272,0.00008235109,0.01419105,0.00003352949,0.00005303621,0.00007281645,0.00008800093,0.9713822,0.0009307994,0.002377175,0.001609805,0.009091128],"study_design_scores_gemma":[0.0000384381,0.00001175947,0.004463229,0.000006978921,0.0000265041,0.000008905904,0.00005475011,0.993583,0.0003400538,0.0002636862,0.001181131,0.00002149171],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9416016,0.0005832383,0.02299474,0.001118249,0.0001509441,0.0001159929,0.003428743,0.001208336,0.02879818],"genre_scores_gemma":[0.9849474,0.0002923971,0.007800232,0.00007035261,0.00001231358,0.00003055137,0.0006550903,0.0001453416,0.006046312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01955914,"threshold_uncertainty_score":0.08500499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02409886521240267,"score_gpt":0.2033904640225747,"score_spread":0.1792915988101721,"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."}}