{"id":"W4323312490","doi":"10.5194/egusphere-2023-258","title":"MESSAGEix-GLOBIOM Nexus Module: Integrating water sector and climate impacts","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Horizon 2020; Horizon 2020 Framework Programme; European Commission","keywords":"Nexus (standard); Climate change; Environmental resource management; Representation (politics); Water resources; Environmental science; Water-energy nexus; Constraint (computer-aided design); Land use; Natural resource economics; Computer science; Environmental planning; Environmental economics; Civil engineering; 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":["metaepi_narrow","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004458017,0.0005959747,0.0005404273,0.00008938803,0.0003099433,0.0001987408,0.0004519192,0.0002956547,0.001215481],"category_scores_gemma":[0.00004645009,0.0003761071,0.000124437,0.000124637,0.0002782634,0.0002045655,0.008376158,0.0004538955,0.0008275115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002920026,"about_ca_system_score_gemma":0.000009573751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006437601,"about_ca_topic_score_gemma":0.006019456,"domain_scores_codex":[0.9969345,0.0001021489,0.0004657597,0.001092748,0.000428314,0.0009765358],"domain_scores_gemma":[0.9989562,0.00006856296,0.0001210837,0.0006232315,0.00001445276,0.0002164822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005822375,0.00123896,0.1927873,0.004209141,0.003674668,0.002032862,0.04712204,0.03017671,0.4515418,0.03143967,0.2056336,0.02956092],"study_design_scores_gemma":[0.002565181,0.0007806213,0.2189929,0.001581043,0.0006134268,0.0001564443,0.005676981,0.03931545,0.2486354,0.4660949,0.008048768,0.00753882],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6716319,0.0002650412,0.0007371768,0.002999666,0.002167576,0.0008514978,0.0004127343,0.001322654,0.3196117],"genre_scores_gemma":[0.9931422,0.00008597,0.001442896,0.0002694766,0.0001331291,0.00009239378,0.0000882661,0.00009158396,0.004654055],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4346553,"threshold_uncertainty_score":0.9999505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02601708664614547,"score_gpt":0.2412187559240485,"score_spread":0.215201669277903,"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."}}