{"id":"W2085461405","doi":"10.1002/hyp.7596","title":"Comparative probabilistic assessment of the hydrological performance of reconstructed and natural watersheds","year":2010,"lang":"en","type":"article","venue":"Hydrological Processes","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Evapotranspiration; Environmental science; Watershed; Hydrology (agriculture); Water content; Vegetation (pathology); Probabilistic logic; Land cover; Moisture; Canopy; Soil science; Land use; Computer science; Mathematics; Meteorology; Geography; Geology; Statistics; Ecology","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":[0.00158304,0.0002286605,0.0002083512,0.0007735677,0.0001598509,0.0005628751,0.0003830898,0.0003363459,0.0005496775],"category_scores_gemma":[0.003171133,0.0001527115,0.000453389,0.0005566136,0.0003942021,0.0005663281,0.0003599843,0.0001610647,0.00003834105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006512701,"about_ca_system_score_gemma":0.0003951423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004875189,"about_ca_topic_score_gemma":0.003707871,"domain_scores_codex":[0.9996524,0.0001600897,0.00002226377,0.00006686291,0.00006234912,0.00003605037],"domain_scores_gemma":[0.9983005,0.001191277,0.0001847217,0.0001106861,0.0001678241,0.00004509478],"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":[0.0000509348,0.0000183259,0.02312941,0.00001380827,0.00002868481,0.00004777586,0.00002774569,0.971619,0.001072815,0.0006820134,0.00001770263,0.003291878],"study_design_scores_gemma":[0.000003723475,0.00004969517,0.01202466,0.000003180789,0.00001366745,0.00001957021,0.00003720708,0.9865223,0.0008422854,0.0004062839,0.00006840337,0.00000899385],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9761726,0.0000403053,0.02305592,0.00001577862,0.00000175049,0.00001661546,0.0001717171,0.00004418114,0.0004812141],"genre_scores_gemma":[0.9981457,0.0000181849,0.001686804,7.886942e-7,7.831739e-7,0.000004386072,0.00009008004,0.000002333895,0.00005086907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004875189,"threshold_uncertainty_score":0.009693623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01462575767762869,"score_gpt":0.2465462675827165,"score_spread":0.2319205099050878,"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."}}