{"id":"W2999108302","doi":"10.5194/tc-14-147-2020","title":"Impact of forcing on sublimation simulations for a high mountain catchment in the semiarid Andes","year":2020,"lang":"en","type":"article","venue":"˜The œcryosphere","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Fondo de Innovación para la Competitividad; Comisión Nacional de Investigación Científica y Tecnológica","keywords":"Weather Research and Forecasting Model; Snowpack; Snowmelt; Snow; Environmental science; Sublimation (psychology); Watershed; Precipitation; Forcing (mathematics); Climatology; Automatic weather station; Hydrology (agriculture); Atmospheric sciences; Meteorology; Geology; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005089469,0.0005096841,0.0004162278,0.0003888897,0.0005710293,0.001001501,0.0007957102,0.0009815926,0.001450188],"category_scores_gemma":[0.0009354171,0.0002900635,0.0007531593,0.0005187031,0.000544412,0.0004138726,0.0004910228,0.0005907763,0.0001299488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001664881,"about_ca_system_score_gemma":0.0009952328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09392116,"about_ca_topic_score_gemma":0.05388143,"domain_scores_codex":[0.999841,0.00005668199,0.00001144027,0.00003571188,0.00001484203,0.00004028849],"domain_scores_gemma":[0.9995071,0.0002480418,0.00004778216,0.00005195327,0.00006805685,0.0000771689],"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":[0.0002909426,0.0003279104,0.04030953,0.00004172625,0.00008437514,0.0001929255,0.0001102511,0.9533598,0.002271447,0.0003004023,0.0003288388,0.002381821],"study_design_scores_gemma":[0.0002153116,0.0001447287,0.02468529,0.00001015842,0.0000285671,0.00001471824,0.0001431601,0.9732338,0.001001176,0.0001237423,0.0003821035,0.00001724297],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985355,0.00002285427,0.0003234033,0.00005502999,0.000005824768,0.00001123128,0.0003093774,0.00006654236,0.0006701305],"genre_scores_gemma":[0.9990643,0.00001684182,0.0004083023,0.00001397784,0.000002607528,0.00001733606,0.0002979462,0.000008650075,0.0001700248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09392116,"threshold_uncertainty_score":0.1867489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0327910388646238,"score_gpt":0.2658712126535165,"score_spread":0.2330801737888927,"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."}}