{"id":"W2125717619","doi":"","title":"Mapping Virtual Water Use in Canada’s Prairies: A Comparison between Prairie Virtual Water Demands and Renewable Supply","year":2014,"lang":"en","type":"dissertation","venue":"Scholars' Bank (University of Oregon)","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bachelor; Virtual water; Spring (device); Geography; Degree (music); Renewable energy; Hydrology (agriculture); Library science; Forestry; Environmental science; Engineering; Environmental resource management; Computer science; Archaeology; Water scarcity; Electrical engineering; Agriculture; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005096792,0.0002125965,0.0002494688,0.001895477,0.001057861,0.002163504,0.0007061861,0.0003282899,0.002100774],"category_scores_gemma":[0.002944991,0.0002044178,0.0003353819,0.00663855,0.0005612831,0.0008622413,0.0008736352,0.000331254,0.0002225167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004611423,"about_ca_system_score_gemma":0.005218155,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9535977,"about_ca_topic_score_gemma":0.9840246,"domain_scores_codex":[0.9996364,0.00004921102,0.00001440827,0.00006360367,0.0001679758,0.00006837097],"domain_scores_gemma":[0.9988911,0.0003745418,0.00007741942,0.00005035198,0.0004915656,0.0001150758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004156462,0.0002232481,0.768471,0.0004884204,0.0005487652,0.0003853172,0.01177668,0.01654977,0.00397034,0.002966315,0.009164821,0.1850397],"study_design_scores_gemma":[0.00001104649,0.00003870249,0.9514836,0.0001125744,0.00009021919,0.0000807706,0.01894616,0.01860215,0.0008181733,0.0005872016,0.009189342,0.00004003739],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9800933,0.0005507104,0.001645675,0.0003717065,0.00001482899,0.00004014736,0.003848875,0.00005963155,0.01337509],"genre_scores_gemma":[0.9919854,0.0005287103,0.003351678,0.00003988909,0.000004828566,0.00001660397,0.00230859,0.00002445733,0.001739756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04640234,"threshold_uncertainty_score":0.09335119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01200375038265884,"score_gpt":0.1897497763606441,"score_spread":0.1777460259779852,"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."}}