{"id":"W118215692","doi":"","title":"Use of the North American Regional Reanalysis Data for Hydrological Modeling in Reconstructed Watersheds","year":2010,"lang":"en","type":"article","venue":"EGUGA","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Environmental science; Hydrological modelling; Hydrology (agriculture); Climatology; Geology","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":[0.0002326157,0.0000777332,0.0001498046,0.00002965583,0.00009644547,0.000006481041,0.0004653654,0.00002927168,0.00006502028],"category_scores_gemma":[0.00009427693,0.00004794888,0.00004263744,0.0002261913,0.0005127687,0.0001454029,0.0005580175,0.0001312237,0.000007747342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001134935,"about_ca_system_score_gemma":0.000002669127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008988151,"about_ca_topic_score_gemma":0.009796225,"domain_scores_codex":[0.9992064,0.00004397173,0.0001786314,0.0002812119,0.0001093464,0.0001804776],"domain_scores_gemma":[0.9992703,0.00006437624,0.00006988943,0.0005686881,0.000004363464,0.00002238593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002996508,0.00002920031,0.9839901,0.000001662385,0.00002929744,7.86749e-7,0.00009747695,0.01307019,0.0003929316,0.00002623702,0.0008620861,0.001470048],"study_design_scores_gemma":[0.0003374854,0.00005465344,0.67114,0.000003734208,0.000094674,0.000003140694,0.00006582982,0.319118,0.0001054904,0.0009481457,0.007933264,0.0001955726],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973047,0.000001108385,0.0002334251,0.002069859,0.000061119,0.0001370825,0.00001797953,0.00001020049,0.0001644703],"genre_scores_gemma":[0.9967383,0.00001009056,0.002726921,0.000358708,0.0000157606,0.00001169291,0.00003425845,0.000004103432,0.0001001741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3128501,"threshold_uncertainty_score":0.5466524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07270650374910691,"score_gpt":0.2514047379294451,"score_spread":0.1786982341803382,"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."}}