{"id":"W3181818572","doi":"","title":"The role of Alberta in global food security through virtual water trade","year":2019,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Virtual water; Food security; Water security; International trade; Business; Geography; Water scarcity; Water resources; Agriculture; Ecology; Biology","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":[0.001087454,0.0002104839,0.0001400919,0.0009097214,0.002151401,0.005681447,0.0006129488,0.0008617571,0.008652653],"category_scores_gemma":[0.003076529,0.0001366093,0.0002337009,0.001349806,0.002293131,0.002952182,0.00270884,0.001010886,0.0003048338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01132542,"about_ca_system_score_gemma":0.01307242,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6369462,"about_ca_topic_score_gemma":0.7690113,"domain_scores_codex":[0.9992235,0.0001927317,0.00001448223,0.00006804922,0.0002148489,0.0002863364],"domain_scores_gemma":[0.9988715,0.0002465642,0.0001028788,0.00009816246,0.0004244003,0.00025652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006049318,0.00009815189,0.05560587,0.0001388137,0.00008869821,0.0007042355,0.00165571,0.018717,0.001354193,0.7475596,0.03867927,0.1347935],"study_design_scores_gemma":[0.0001003296,0.000223082,0.1220117,0.0006140238,0.0002548962,0.0003533188,0.01562062,0.04142826,0.004136744,0.3672839,0.4478057,0.000167347],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3148688,0.002400847,0.004675681,0.02273864,0.0003238967,0.00004528455,0.0005052462,0.0001305892,0.654311],"genre_scores_gemma":[0.9721876,0.0007548286,0.0009461849,0.000588597,0.0000311779,0.000007726683,0.0001077401,0.00002383025,0.02535239],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3630538,"threshold_uncertainty_score":0.7303838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02655729832077699,"score_gpt":0.2109035944272749,"score_spread":0.1843462961064979,"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."}}