{"id":"W2919466912","doi":"10.5194/tc-2019-31","title":"Uncertainties in the spatial distribution of snow sublimation in the semi-arid Andes of Chile","year":2019,"lang":"en","type":"article","venue":"","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Snow; Weather Research and Forecasting Model; Snowmelt; Snowpack; Environmental science; Sublimation (psychology); Automatic weather station; Precipitation; Watershed; Climatology; Atmospheric sciences; Hydrology (agriculture); 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":[0.0004722423,0.0002481778,0.0002232929,0.0003906288,0.0003114366,0.0008780758,0.0005055392,0.0003784115,0.0007357492],"category_scores_gemma":[0.001234949,0.0001982084,0.0004565672,0.0006272392,0.0004243786,0.0005731485,0.0004242308,0.0002872123,0.000089162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001575388,"about_ca_system_score_gemma":0.0009386265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07791448,"about_ca_topic_score_gemma":0.05343535,"domain_scores_codex":[0.9998456,0.00004913343,0.00001354055,0.00003872242,0.00001986617,0.00003294947],"domain_scores_gemma":[0.9995092,0.0002513789,0.00007979572,0.0000558359,0.00006395088,0.0000397534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0002929931,0.0002082088,0.3741838,0.0001152144,0.0001870376,0.0004250831,0.0004724263,0.6092951,0.005816945,0.0008507835,0.0005735501,0.007578912],"study_design_scores_gemma":[0.0001695195,0.0001089164,0.4455102,0.00004709242,0.00006064857,0.0000792475,0.001098184,0.5480366,0.002425577,0.0007653089,0.001635507,0.00006331378],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985941,0.00003186166,0.0002385483,0.00004703,0.00000158729,0.000007649285,0.0003859718,0.00002285071,0.0006704853],"genre_scores_gemma":[0.9994946,0.00002377773,0.0001470409,0.000004908455,8.96016e-7,0.000009261498,0.0002118749,0.000003255581,0.0001043718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07791448,"threshold_uncertainty_score":0.1549219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01474265918902785,"score_gpt":0.2084850006185061,"score_spread":0.1937423414294783,"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."}}