{"id":"W2050763529","doi":"10.1175/2010jcli3821.1","title":"Spatial and Temporal Transferability of a Distributed Energy-Balance Glacier Melt Model","year":2010,"lang":"en","type":"article","venue":"Journal of Climate","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Glacier; Forcing (mathematics); Snow; Climatology; Glacier mass balance; Transferability; Energy balance; Environmental science; Albedo (alchemy); Radiative forcing; Atmospheric sciences; Geology; Climate change; Mathematics; Geomorphology; Statistics; Physics","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":[0.001468615,0.0003644914,0.0002864993,0.0003901588,0.0003797172,0.0009652954,0.0007984723,0.0005546234,0.001269013],"category_scores_gemma":[0.004807062,0.0002405059,0.0005852018,0.0002678863,0.0004357496,0.000903932,0.0008578925,0.0008017538,0.0001663012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001237147,"about_ca_system_score_gemma":0.000694464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02260689,"about_ca_topic_score_gemma":0.008547328,"domain_scores_codex":[0.9996959,0.000104904,0.00002218365,0.00009527308,0.00004924,0.00003253256],"domain_scores_gemma":[0.9986504,0.0007089187,0.0001616132,0.0002420746,0.0001626342,0.00007433812],"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":[0.0001600627,0.00009052594,0.01473579,0.00001118488,0.00006408119,0.00004913261,0.0000380021,0.9759985,0.002010645,0.0006006675,0.00009561583,0.00614588],"study_design_scores_gemma":[0.00001689408,0.00003452132,0.001920232,0.000001881595,0.000009242547,0.000005422201,0.00000968594,0.9971687,0.0005303766,0.0002263075,0.00007334758,0.000003362034],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9776768,0.00003366287,0.01921693,0.0001282526,0.00001227732,0.00003663456,0.0001604,0.0002383494,0.002496743],"genre_scores_gemma":[0.9974276,0.000006929523,0.002150995,0.000008643123,0.000002243561,0.00001196184,0.0001195313,0.00001520175,0.0002568059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02260689,"threshold_uncertainty_score":0.0449506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01364750260440491,"score_gpt":0.2238928265601837,"score_spread":0.2102453239557788,"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."}}