{"id":"W2275622404","doi":"10.1080/07011784.2015.1064787","title":"Water resilience for human prosperity","year":2015,"lang":"en","type":"article","venue":"Canadian Water Resources Journal / Revue canadienne des ressources hydriques","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Prosperity; Resilience (materials science); Environmental science; Natural resource economics; Economics; Economic growth; Materials science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0008112033,0.0003030061,0.0002741168,0.001280545,0.002726121,0.002334228,0.0004381318,0.0008837403,0.01275754],"category_scores_gemma":[0.0016981,0.0001097576,0.0002376389,0.001211794,0.007305827,0.003130127,0.003598716,0.0009319315,0.0003529065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006072412,"about_ca_system_score_gemma":0.007783323,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1462715,"about_ca_topic_score_gemma":0.2630551,"domain_scores_codex":[0.9995893,0.0000656617,0.000008548141,0.00004813291,0.0000594776,0.0002288781],"domain_scores_gemma":[0.9992792,0.000121889,0.00009115901,0.0000819508,0.000138807,0.0002870992],"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":[0.000106757,0.00005941084,0.02381567,0.0002979874,0.0001055971,0.0003241157,0.007051651,0.00294103,0.001163327,0.8112993,0.03002387,0.1228114],"study_design_scores_gemma":[0.00001007365,0.0000602484,0.07599532,0.0004581423,0.00004479882,0.0001458591,0.02587879,0.00111308,0.0004614249,0.6805224,0.2152624,0.00004740637],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3459873,0.03231728,0.005423904,0.1621446,0.0006520197,0.00006861533,0.001410732,0.0001300637,0.4518654],"genre_scores_gemma":[0.9917863,0.003482495,0.0003296012,0.0005088336,0.00006206398,0.0000100295,0.00005492332,0.000009343479,0.003756384],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8537285,"threshold_uncertainty_score":0.2908402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02501886863456259,"score_gpt":0.2155102983235372,"score_spread":0.1904914296889746,"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."}}