{"id":"W4404312709","doi":"10.1007/s00550-024-00546-w","title":"Sustainability nexus analytics, informatics, and data (AID): Drought","year":2024,"lang":"en","type":"article","venue":"Sustainability Nexus Forum","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"United Nations University Institute for Water, Environment, and Health","funders":"Division of Chemical, Bioengineering, Environmental, and Transport Systems; National Oceanic and Atmospheric Administration; Global Affairs Canada; Nuclear Safety and Security Commission; National Aeronautics and Space Administration; U.S. Department of Energy; National Science Foundation","keywords":"Nexus (standard); Analytics; Sustainability; Informatics; Data science; Data analysis; Computer science; Political science; Data mining","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01706397,0.0008348604,0.0005563253,0.003836237,0.00176326,0.006683585,0.001110709,0.002483015,0.03830966],"category_scores_gemma":[0.02284956,0.0004694499,0.0003301798,0.004604803,0.001014028,0.00930985,0.007420775,0.003272774,0.01167345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00137282,"about_ca_system_score_gemma":0.00417969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003471786,"about_ca_topic_score_gemma":0.004044223,"domain_scores_codex":[0.9965113,0.001177824,0.0002045978,0.0003129061,0.001342081,0.0004513057],"domain_scores_gemma":[0.9822666,0.006858339,0.0008667603,0.001991097,0.003681217,0.004335993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008034628,0.00009054241,0.00140331,0.0001948547,0.000008726344,0.00005880312,0.0003311332,0.0008610535,0.001075785,0.03600691,0.829852,0.1300366],"study_design_scores_gemma":[0.00002678982,0.0000335263,0.00163715,0.0002258671,0.00000625603,0.00006393882,0.0002821651,0.003640439,0.001231285,0.02952935,0.9632964,0.00002686543],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02214996,0.01641653,0.2297955,0.2437391,0.01901951,0.001058784,0.0912732,0.09155998,0.2849874],"genre_scores_gemma":[0.2567468,0.0219474,0.2513584,0.0248402,0.02210619,0.002862022,0.1675216,0.01746017,0.2351572],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03830966,"threshold_uncertainty_score":0.1281586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009367448163740579,"score_gpt":0.2769665275330694,"score_spread":0.2675990793693289,"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."}}