{"id":"W1509500453","doi":"10.1002/hyp.10214","title":"Hydrological model uncertainty due to precipitation‐phase partitioning methods","year":2014,"lang":"en","type":"article","venue":"Hydrological Processes","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Environmental science; Snow; Precipitation; Water cycle; Streamflow; Range (aeronautics); Hydrometeorology; Uncertainty analysis; Humidity; Empirical modelling; Climatology; Meteorology; Atmospheric sciences; Drainage basin; Computer science; Mathematics; Statistics; Geology; Materials science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004363037,0.0004049385,0.0003955889,0.0005191856,0.0004194018,0.0008882632,0.0008654803,0.0004539369,0.0006628819],"category_scores_gemma":[0.0151207,0.0003942068,0.0006273734,0.0005968607,0.0004406011,0.001006413,0.0008119019,0.000809705,0.00006406214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001110391,"about_ca_system_score_gemma":0.0008584535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008471654,"about_ca_topic_score_gemma":0.004960458,"domain_scores_codex":[0.9977142,0.001437,0.0001119155,0.0002300809,0.0004066858,0.0001001856],"domain_scores_gemma":[0.9903736,0.007648205,0.0005465334,0.0006747834,0.0006781953,0.00007879877],"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":[0.00004942039,0.00002210396,0.003687162,0.00002680258,0.00006956755,0.00001415711,0.00003025139,0.9827117,0.000657618,0.00457024,0.0002568785,0.007904055],"study_design_scores_gemma":[0.00001611267,0.00001563036,0.001527103,0.000007404356,0.00001097074,0.000005938921,0.000009967033,0.9935191,0.0009123469,0.003485265,0.0004794119,0.00001068571],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5194353,0.0003988625,0.4699677,0.0006811039,0.0001010984,0.0001759034,0.001415808,0.0005648903,0.007259252],"genre_scores_gemma":[0.976354,0.00008224915,0.02270315,0.00005431921,0.00001997774,0.00007468494,0.0003761954,0.0000411552,0.0002941853],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008471654,"threshold_uncertainty_score":0.02307421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06159060572706369,"score_gpt":0.3246196929518184,"score_spread":0.2630290872247547,"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."}}