{"id":"W3033087580","doi":"","title":"Mass Balance Modelling of Saskatchewan Glacier, Canada Using Empirically Downscaled Reanalysis Data","year":2017,"lang":"en","type":"article","venue":"AGUFM","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Glacier mass balance; Glacier; Balance (ability); Climatology; Meteorology; Environmental science; Geology; Physical geography; Geography","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":[0.0002639073,0.0006778474,0.0004827246,0.0008181935,0.00138949,0.001319105,0.001544974,0.0008744032,0.00326394],"category_scores_gemma":[0.0007523273,0.0006121265,0.0006938184,0.001306765,0.00057339,0.0006029662,0.0003684189,0.0007128209,0.0004102659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02057056,"about_ca_system_score_gemma":0.02000618,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.991169,"about_ca_topic_score_gemma":0.9910359,"domain_scores_codex":[0.9998941,0.00001117958,0.000005820652,0.0000328594,0.00002065181,0.00003537271],"domain_scores_gemma":[0.9996127,0.00006226466,0.00002421057,0.00002066618,0.0002368472,0.00004329018],"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":[0.0001272738,0.00007172969,0.03226674,0.000049632,0.0001308827,0.0001246256,0.0001078575,0.9544867,0.001850588,0.001327458,0.003378285,0.006078234],"study_design_scores_gemma":[0.0001109058,0.00001795844,0.05465747,0.00002982845,0.00007288723,0.00001513495,0.0002257833,0.9406466,0.001007456,0.0005937088,0.002553785,0.00006845535],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9825858,0.0002555433,0.001462089,0.000405646,0.00004159803,0.00004061632,0.007303683,0.0002019572,0.007703068],"genre_scores_gemma":[0.9919416,0.0001951172,0.001349635,0.00005817858,0.000005579183,0.00002627746,0.00274173,0.00004680289,0.00363504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02057056,"threshold_uncertainty_score":0.1492506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1076293288911681,"score_gpt":0.2651445814797144,"score_spread":0.1575152525885463,"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."}}