{"id":"W3167932164","doi":"10.1016/j.scitotenv.2021.148230","title":"Freshwater availability status across countries for human and ecosystem needs","year":2021,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":251,"is_retracted":false,"has_abstract":false,"ca_institutions":"United Nations University Institute for Water, Environment, and Health","funders":"","keywords":"Water scarcity; Water resources; Natural resource economics; Sustainability; Per capita; Water use; Agriculture; Population; Water conservation; Business; Population growth; Scarcity; Geography; Economics; Ecology","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0009233539,0.0001648671,0.0001848615,0.00001212596,0.001229973,0.00005901312,0.0005410321,0.00003192377,0.0003625047],"category_scores_gemma":[0.00004848661,0.00008996893,0.00007658369,0.0001852989,0.003433128,0.0002093478,0.002088849,0.0000714361,0.00003639695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003263827,"about_ca_system_score_gemma":0.00002002534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002252253,"about_ca_topic_score_gemma":0.0002616387,"domain_scores_codex":[0.9980595,0.00007452346,0.0002650242,0.0003918302,0.0006454454,0.0005637257],"domain_scores_gemma":[0.9989626,0.00008286671,0.0001226721,0.000734129,0.000009797292,0.00008791689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008007024,0.0003465138,0.006492044,0.00009764385,0.00009137725,0.000002989722,0.01462038,0.02401051,0.9374549,0.01433543,0.00135527,0.001112903],"study_design_scores_gemma":[0.0007900817,0.0002680688,0.1121487,0.00003780309,0.00007384195,0.00003709783,0.004894838,0.001618526,0.8378639,0.03036954,0.01142846,0.0004691363],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995059,0.0001183257,0.00002508377,0.001306877,0.0001601421,0.0002782084,0.0002082502,0.00001086623,0.002833314],"genre_scores_gemma":[0.9965482,0.00001359479,0.000215706,0.00004607339,0.00002159303,0.00004111616,0.000001281805,0.000009854822,0.003102575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1056566,"threshold_uncertainty_score":0.999279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01181572262848511,"score_gpt":0.2217462325201043,"score_spread":0.2099305098916192,"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."}}