{"id":"W2191205336","doi":"10.3133/ds967","title":"Hydrologic data for the Walker River Basin, Nevada and California, water years 2010–14","year":2015,"lang":"en","type":"article","venue":"Data series","topic":"Water Quality and Resources Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Banting and Best Diabetes Centre, University of Toronto; Deutscher Akademischer Austauschdienst","keywords":"Hydrology (agriculture); Geological survey; Groundwater; Surface water; Environmental science; STREAMS; Structural basin; Watershed; Water quality; Spring (device); Geology; Ecology; Environmental engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004685931,0.0004369277,0.00031227,0.003035926,0.0004064487,0.0006277998,0.0005700364,0.0001805826,0.01001506],"category_scores_gemma":[0.001323406,0.0002025147,0.000151386,0.005613796,0.0001098342,0.0004847698,0.000423362,0.0004625231,0.002789762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001282255,"about_ca_system_score_gemma":0.003461707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3703373,"about_ca_topic_score_gemma":0.5385976,"domain_scores_codex":[0.9997011,0.00002460052,0.00004100425,0.00007143014,0.0001380695,0.00002375757],"domain_scores_gemma":[0.9990127,0.00008686817,0.0001736534,0.00005352921,0.0005772131,0.00009596503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001224865,0.0001321316,0.1424676,0.0005445319,0.0001116378,0.00008691274,0.0003043289,0.002031321,0.0005225412,0.001139157,0.8250265,0.02751082],"study_design_scores_gemma":[0.00007398934,0.00002406735,0.4551755,0.0001455496,0.00004388977,0.00004648544,0.000642722,0.0009920588,0.0002896396,0.0004388908,0.5421003,0.00002686172],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02421818,0.000624219,0.0004027367,0.0002263654,0.00008193603,0.00007538316,0.9561023,0.0002981018,0.0179707],"genre_scores_gemma":[0.0396506,0.0009774733,0.001308764,0.0001094472,0.00003443706,0.0003248675,0.9461038,0.00006311611,0.01142763],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3703373,"threshold_uncertainty_score":0.7363634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1606487237506487,"score_gpt":0.2639829401239116,"score_spread":0.1033342163732629,"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."}}