{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006520758,0.0001887021,0.000306976,0.00002938092,0.0004795649,0.00007473883,0.0002604099,0.0001118502,0.001501471],"category_scores_gemma":[0.002390852,0.0001299975,0.00005927361,0.0005185799,0.0001312291,0.0001581996,0.00003861049,0.000159007,0.0001979694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005578664,"about_ca_system_score_gemma":0.00003873449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001268422,"about_ca_topic_score_gemma":0.0004855377,"domain_scores_codex":[0.9984068,0.0001653089,0.0003178666,0.0004647264,0.0002192419,0.0004260653],"domain_scores_gemma":[0.9983692,0.001019132,0.00008345593,0.0001746478,0.0001307041,0.0002228373],"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":[0.0001019073,0.00009462379,0.009802458,0.00002970402,0.00001570328,0.000004437406,0.0002851708,0.9478326,0.00003784259,0.0006917273,0.0009326292,0.0401712],"study_design_scores_gemma":[0.0003860991,0.0008060398,0.02881189,0.00001054137,0.0000258884,0.000008116673,0.00006504825,0.9127192,0.00005340354,0.03948471,0.01736146,0.0002675355],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6772842,0.0003891826,0.3129441,0.0026122,0.0001222376,0.0002534736,0.00003082918,0.0001995435,0.006164189],"genre_scores_gemma":[0.9337956,0.00003950029,0.06208681,0.003705029,0.0001410697,0.00002956156,0.00007570972,0.000003733398,0.0001229284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2565115,"threshold_uncertainty_score":0.9994113,"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."}}