{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001219981,0.0009848849,0.0005775708,0.0005041889,0.0003555711,0.001402317,0.001217807,0.00100569,0.01452796],"category_scores_gemma":[0.00212813,0.0003866323,0.000908684,0.0009848905,0.0003223043,0.001364957,0.001854438,0.001022633,0.002984141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007162222,"about_ca_system_score_gemma":0.001266943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00940089,"about_ca_topic_score_gemma":0.0052546,"domain_scores_codex":[0.9997178,0.0001165255,0.00001393269,0.00005127661,0.00006886709,0.0000315436],"domain_scores_gemma":[0.9995624,0.0001561025,0.00003542321,0.00009957498,0.00009463637,0.00005180796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002807898,0.0001248228,0.0116034,0.0005659935,0.0003712248,0.0002401085,0.0002619096,0.7995507,0.00278524,0.05933852,0.08381732,0.04106002],"study_design_scores_gemma":[0.0002273044,0.0000596249,0.004189525,0.0001008039,0.00006901522,0.00005416751,0.0001200716,0.7696481,0.004414394,0.04463013,0.1764257,0.00006124775],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1742243,0.001033302,0.4117257,0.00395048,0.001102778,0.0008157993,0.2099381,0.05595832,0.1412512],"genre_scores_gemma":[0.6179439,0.0007925254,0.2285783,0.0006817144,0.0002364236,0.001830971,0.1166903,0.0108484,0.02239741],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01452796,"threshold_uncertainty_score":0.04860085,"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."}}