{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001851728,0.0005869924,0.0006049705,0.0004078363,0.002158656,0.0004403308,0.001316594,0.0002410503,0.000498566],"category_scores_gemma":[0.000190016,0.0004044874,0.0002417127,0.0002349703,0.001202822,0.000666573,0.000269798,0.0004625029,0.0001022182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003296101,"about_ca_system_score_gemma":0.00001218532,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3426998,"about_ca_topic_score_gemma":0.8954431,"domain_scores_codex":[0.994937,0.0003126217,0.0007559294,0.0008664748,0.0004194021,0.002708555],"domain_scores_gemma":[0.9955411,0.00003831074,0.0001637688,0.0006522828,0.0002666508,0.003337889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002328318,0.0001116222,0.01834719,0.0001525145,0.0002931456,0.001596603,0.9349746,0.005611964,0.02850941,0.0001011599,0.003207464,0.006861464],"study_design_scores_gemma":[0.0007202392,0.0005266049,0.0008511644,0.0001101316,0.00007777932,0.00102842,0.001463307,0.0003501287,0.03055713,0.04811155,0.9154023,0.0008012539],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9703088,0.0004310043,0.00003844473,0.00152783,0.0003311544,0.0005159506,0.00008652584,0.0000751042,0.0266852],"genre_scores_gemma":[0.9929105,0.00001586478,0.0003738349,0.000554707,0.0006530145,0.0001514021,0.00004701886,0.0001117583,0.005181918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9335113,"threshold_uncertainty_score":0.9998407,"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."}}