{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000991769,0.0002340807,0.00036964,0.003079328,0.00054912,0.001150375,0.0005318804,0.0004737856,0.006221764],"category_scores_gemma":[0.00415305,0.0002700378,0.001160569,0.006764642,0.0005709126,0.001802325,0.002157707,0.0005136093,0.0003477267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001219402,"about_ca_system_score_gemma":0.0008926459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07106427,"about_ca_topic_score_gemma":0.1316031,"domain_scores_codex":[0.9991787,0.0002068872,0.0001021241,0.000150372,0.00007471677,0.0002872958],"domain_scores_gemma":[0.9973075,0.0004926468,0.001216241,0.000159282,0.0004631137,0.0003611899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001896168,0.00002441811,0.9877905,0.0001033806,0.0003450424,0.0001971095,0.001041028,0.0005356896,0.0001079583,0.001501617,0.001989173,0.006174496],"study_design_scores_gemma":[0.000002939716,0.0000242998,0.9964229,0.00004234679,0.00006274059,0.0001147987,0.001680756,0.0001014726,0.00002854848,0.0002281489,0.001283455,0.000007550439],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9743347,0.002323737,0.0001997244,0.0008835588,0.00002557754,0.00001641728,0.0143944,0.00001293541,0.007809002],"genre_scores_gemma":[0.9970809,0.0003487326,0.00007704277,0.00006431947,0.000005766938,0.00001259413,0.001852455,0.000005318445,0.0005528149],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07106427,"threshold_uncertainty_score":0.1413013,"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."}}