{"id":"W2113519787","doi":"10.5194/tc-5-1011-2011","title":"A preliminary assessment of glacier melt-model parameter sensitivity and transferability in a dry subarctic environment","year":2011,"lang":"en","type":"article","venue":"The cryosphere","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Simon Fraser University; Parks Canada","keywords":"Snow; Mean squared error; Glacier; Glacier mass balance; Albedo (alchemy); Lapse rate; Energy balance; Environmental science; Sensitivity (control systems); Coefficient of determination; Elevation (ballistics); Climatology; Atmospheric sciences; Geology; Statistics; Mathematics; Geomorphology; Geometry; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0048423,0.0006664891,0.00047551,0.0005189541,0.0004948449,0.0009962437,0.0005357016,0.0005253286,0.0005818487],"category_scores_gemma":[0.01363055,0.000291821,0.000880634,0.0005974157,0.0004584313,0.0007050346,0.000647289,0.0005550608,0.00007291459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001085381,"about_ca_system_score_gemma":0.0007980772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08282858,"about_ca_topic_score_gemma":0.06322729,"domain_scores_codex":[0.9990108,0.0004416034,0.00009580929,0.0002153184,0.0001526468,0.00008365805],"domain_scores_gemma":[0.9926335,0.004986241,0.0005476011,0.0009769015,0.0007433494,0.000112329],"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":[0.0009423584,0.0002071974,0.1946695,0.00007848876,0.0006951043,0.0002181651,0.0001963294,0.7818263,0.008165495,0.0003093673,0.0002475993,0.01244416],"study_design_scores_gemma":[0.0001077717,0.0005481039,0.1854123,0.00002401082,0.0002346134,0.0001085122,0.000223967,0.8003541,0.01191146,0.0003718254,0.0006418853,0.00006143623],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965789,0.00006185254,0.002475226,0.00003817186,0.000004712703,0.00003089896,0.0002587647,0.00009928837,0.0004521282],"genre_scores_gemma":[0.9979925,0.00001601694,0.001583864,0.00001271341,0.000001705107,0.00001007795,0.0002650705,0.00001419304,0.0001039051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08282858,"threshold_uncertainty_score":0.1646929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03054870323896089,"score_gpt":0.222158449008962,"score_spread":0.1916097457700011,"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."}}