{"id":"W2129308539","doi":"10.5194/tc-8-1429-2014","title":"Representing moisture fluxes and phase changes in glacier debris cover using a reservoir approach","year":2014,"lang":"en","type":"article","venue":"The cryosphere","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":97,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Austrian Science Fund; Bundesministerium für Bildung und Forschung; Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research","keywords":"Glacier; Latent heat; Debris; Sensible heat; Energy balance; Glacier mass balance; Environmental science; Atmospheric sciences; Geology; Water content; Snow; Moisture; Heat flux; Eddy covariance; Climatology; Hydrology (agriculture); Geomorphology; Heat transfer; Meteorology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004275916,0.0001657877,0.0002185954,0.00001314121,0.0004259264,0.0001134715,0.0002098941,0.00007664782,0.000497032],"category_scores_gemma":[0.00007390182,0.0001136617,0.00004198508,0.0004015,0.0001270099,0.0001349167,0.00006067456,0.0001888351,0.00001746344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007042171,"about_ca_system_score_gemma":0.00001884011,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01133755,"about_ca_topic_score_gemma":0.0424204,"domain_scores_codex":[0.9987743,0.0001077686,0.000194436,0.0003462874,0.0002179584,0.0003592177],"domain_scores_gemma":[0.9992702,0.0002205436,0.00009001236,0.0003081933,0.00003730568,0.00007375936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004831815,0.00004887813,0.956838,0.00004684947,0.00003485252,0.0000059845,0.001427238,0.009958855,0.0000600414,0.00005812817,0.003036416,0.02843641],"study_design_scores_gemma":[0.0007762542,0.00007012042,0.6290944,0.00003071817,0.0000312973,0.00001406938,0.00165473,0.2819472,0.000008447147,0.0004356787,0.08570096,0.0002361364],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897708,0.003478316,0.0008554746,0.0004262368,0.0001531262,0.0002510686,0.00001862247,0.0000335574,0.005012774],"genre_scores_gemma":[0.995554,0.0001413385,0.002324206,0.0004660482,0.0002508574,0.000004991195,0.00002662939,0.000007770961,0.001224189],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3277436,"threshold_uncertainty_score":0.9952461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03188874381822572,"score_gpt":0.2499685278791091,"score_spread":0.2180797840608834,"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."}}