{"id":"W4306157857","doi":"10.1007/s11707-022-1005-2","title":"Hybrid global gridded snow products and conceptual simulations of distributed snow budget: evaluation of different scenarios in a mountainous watershed","year":2022,"lang":"en","type":"article","venue":"Frontiers of Earth Science","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Snowpack; Snowmelt; Streamflow; Snow; Environmental science; Watershed; Calibration; Flood forecasting; Soil and Water Assessment Tool; Meteorology; Hydrology (agriculture); Climatology; Computer science; Drainage basin; Geology; Geography; Mathematics; Statistics; Cartography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000680827,0.00009652186,0.0002412307,0.000066502,0.000245758,0.00001275415,0.0002400925,0.00001306342,0.0001988355],"category_scores_gemma":[0.0004270378,0.00008370097,0.00002847794,0.0008718352,0.0007878856,0.0001913113,0.00006557659,0.00006575354,3.353211e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002208728,"about_ca_system_score_gemma":0.0002429336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001158959,"about_ca_topic_score_gemma":0.001051572,"domain_scores_codex":[0.9982096,0.0000813418,0.0003367006,0.0002813906,0.0008577424,0.00023324],"domain_scores_gemma":[0.9991983,0.00005817663,0.0002065495,0.0001822456,0.0002990037,0.00005578031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004314268,0.00005870775,0.8577572,0.000007152741,0.00001059749,5.361335e-7,0.0009361941,0.1381068,0.0002510743,0.00004930171,0.000170525,0.002608765],"study_design_scores_gemma":[0.0005116444,0.0001719396,0.8119456,0.000007982145,0.00002262832,0.000001292649,0.002616759,0.183575,0.0007436288,0.0002387516,0.00008981062,0.00007493099],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973633,0.0006781503,0.0003056192,0.0001631541,0.0003158045,0.0004174776,0.0007080202,0.000005827402,0.00004263897],"genre_scores_gemma":[0.9988244,0.00001229617,0.000953572,0.00001474893,0.00001060892,0.000003146009,0.0001674307,0.000001209696,0.00001258952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04581156,"threshold_uncertainty_score":0.3413227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0220605025621003,"score_gpt":0.2334639865330013,"score_spread":0.211403483970901,"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."}}