{"id":"W4387196551","doi":"10.55908/sdgs.v11i8.1426","title":"Assessing the Impacts of Climate Change on Water Resources Carrying Capacity Using Venism","year":2023,"lang":"en","type":"article","venue":"Journal of Law and Sustainable Development","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Climate change; Environmental science; Water resources; Population; Environmental resource management; Water supply; Natural resource economics; Water resource management; Environmental engineering; 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":[],"consensus_categories":[],"category_scores_codex":[0.001309889,0.000123634,0.0002095023,0.00007708493,0.0007215117,0.00007859279,0.000130282,0.00003714656,0.00001348061],"category_scores_gemma":[0.00002022206,0.00006705704,0.00004103571,0.0001404369,0.0001496768,0.0004050587,0.0003770491,0.0001171206,0.000002697382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003477691,"about_ca_system_score_gemma":0.00001580034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004940223,"about_ca_topic_score_gemma":0.00004249566,"domain_scores_codex":[0.9985674,0.00008255163,0.0003369554,0.0001133101,0.0003834094,0.0005163467],"domain_scores_gemma":[0.9995666,0.00005444659,0.0001836953,0.00008540066,0.00003654067,0.00007333688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0007114892,0.0008146275,0.1003474,0.002483738,0.001236159,0.005625403,0.6183977,0.01115209,0.1255138,0.1130438,0.001091485,0.01958231],"study_design_scores_gemma":[0.002809645,0.0009721087,0.4210041,0.001479426,0.0002453454,0.0005985181,0.1449916,0.001015472,0.2515382,0.07056136,0.1032991,0.001485044],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909396,0.0000606975,0.00001757858,0.0004671441,0.00007875779,0.00007277981,7.600323e-7,0.000007754124,0.008354993],"genre_scores_gemma":[0.9993284,0.00003318174,0.0002998312,0.0002093989,0.00004884201,0.000003252856,3.797344e-7,0.00001102474,0.00006568938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4734061,"threshold_uncertainty_score":0.5549358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04589651352459068,"score_gpt":0.2703709489674535,"score_spread":0.2244744354428628,"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."}}