{"id":"W2095162156","doi":"10.1029/2007jf000850","title":"Distributed energy balance modeling of South Cascade Glacier, Washington and assessment of model uncertainty","year":2008,"lang":"en","type":"article","venue":"Journal of Geophysical Research Atmospheres","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":91,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Glacier mass balance; Environmental science; Energy balance; Snow; Glacier; Albedo (alchemy); Atmospheric sciences; Precipitation; Lapse rate; Forcing (mathematics); Cascade; Water balance; Range (aeronautics); Climatology; Meteorology; Geology; Physics; Geomorphology; Materials 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":[0.0004948552,0.0001107139,0.0003993727,0.00001301192,0.0002255954,0.00001822017,0.0002606343,0.00005152494,0.00006504008],"category_scores_gemma":[0.0002775507,0.00007922296,0.0001213888,0.0004090236,0.0003219549,0.0001889008,0.00005293132,0.0003656163,5.372678e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000174733,"about_ca_system_score_gemma":0.0003306557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006249333,"about_ca_topic_score_gemma":0.0003765788,"domain_scores_codex":[0.9979348,0.0001137649,0.0004882482,0.0001513869,0.0009865594,0.0003252592],"domain_scores_gemma":[0.9983149,0.0004767573,0.0002422976,0.0001442682,0.000641262,0.0001805746],"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":[0.0001880424,0.0001178145,0.2106583,0.00004939032,0.0001043761,0.00002054685,0.0005030091,0.7828577,0.0002798231,0.0007148813,0.0004623143,0.004043858],"study_design_scores_gemma":[0.0003140248,0.0003261627,0.205115,0.00004794344,0.00001100689,0.000005824649,0.0005943725,0.7910728,0.00003907793,0.002292861,0.0001186195,0.00006234364],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835786,0.001346186,0.0144737,0.0001655229,0.00004129842,0.00005266033,0.00007776873,0.000003473897,0.0002607487],"genre_scores_gemma":[0.9922222,0.001590931,0.005991816,0.00001555961,0.00009438826,5.610136e-7,0.000008747578,0.000003761746,0.00007201513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008643582,"threshold_uncertainty_score":0.9447163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06822226600854361,"score_gpt":0.3160490688346876,"score_spread":0.247826802826144,"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."}}