{"id":"W2112782608","doi":"10.3390/w2040726","title":"An Integrated Assessment of Investments towards Global Water Sustainability","year":2010,"lang":"en","type":"article","venue":"Water","topic":"Water resources management and optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"World Bank Group","keywords":"Sustainability; Integrated water resources management; Context (archaeology); Business; Water supply; Water resources; Demand management; Natural resource economics; Environmental economics; Population; Investment (military); Environmental resource management; Environmental science; Economics; Environmental engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.00212451,0.0007506215,0.0005235017,0.001902479,0.0002953745,0.003630373,0.0004687707,0.001079473,0.002620496],"category_scores_gemma":[0.004904323,0.0004169372,0.0006067282,0.003237359,0.0007832831,0.004788343,0.002277322,0.000715969,0.000231022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003274923,"about_ca_system_score_gemma":0.001845419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005296338,"about_ca_topic_score_gemma":0.008703787,"domain_scores_codex":[0.9984905,0.0006151535,0.00004725764,0.00015233,0.0004959645,0.0001987878],"domain_scores_gemma":[0.9988895,0.0003838664,0.0002618739,0.00008890764,0.0002796353,0.00009626345],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002635437,0.0001642683,0.03853434,0.0001971328,0.0003993903,0.0002487081,0.0003114597,0.7860565,0.002527563,0.1015471,0.001023943,0.06872609],"study_design_scores_gemma":[0.0000775977,0.001286007,0.07776766,0.0002184416,0.0005284973,0.0001934398,0.003686135,0.6956192,0.005481192,0.1834623,0.03155099,0.0001285893],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8765635,0.001047077,0.03291626,0.00156031,0.00003106678,0.0001829178,0.001071393,0.0001111355,0.08651642],"genre_scores_gemma":[0.9899483,0.0007926748,0.00623993,0.0000526233,0.000008376526,0.00007937338,0.0003777021,0.00001982785,0.002481324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005296338,"threshold_uncertainty_score":0.02376127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004924992817436191,"score_gpt":0.2419648505146514,"score_spread":0.2370398576972152,"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."}}