{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001587436,0.000121348,0.000116531,0.00004492835,0.00002577053,0.00005351929,0.0001587875,0.00006570121,0.0003541102],"category_scores_gemma":[0.000002329175,0.00006984029,0.00003280924,0.00005233212,0.00003790115,0.0002193214,0.00005070172,0.0001000727,0.00001359934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008044145,"about_ca_system_score_gemma":0.000006422987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009651279,"about_ca_topic_score_gemma":0.00002807098,"domain_scores_codex":[0.9992911,0.00002264634,0.0001785725,0.0001338456,0.0001290351,0.0002447838],"domain_scores_gemma":[0.9995944,9.508969e-7,0.000008984087,0.0002623576,0.00007544454,0.00005780404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008619751,0.0008641586,0.2499601,0.001299943,0.0004822775,0.00004335549,0.007148372,0.5195187,0.1802116,0.003380143,0.002170483,0.03483462],"study_design_scores_gemma":[0.00137528,0.0002059819,0.1011021,0.00001442175,0.00007968939,0.000002934852,0.0003479833,0.3610659,0.448727,0.005692597,0.08067858,0.0007075716],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885816,0.000001232687,0.006142177,0.00008940168,0.0002648898,0.0001983234,0.000006781299,0.000162872,0.004552706],"genre_scores_gemma":[0.99704,7.831974e-7,0.002434059,0.00002771411,0.00003303607,0.00001455984,0.0001776843,0.00001455901,0.0002575762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2685154,"threshold_uncertainty_score":0.3877259,"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."}}