{"id":"W4409000604","doi":"10.33774/coe-2025-c2h34-v2","title":"Analysing the Development of the Climate, Land, Energy, and Water systems (CLEWs) Modelling Framework: A state-of-the-art review","year":2025,"lang":"en","type":"review","venue":"","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Climate Compatible Growth project","keywords":"State (computer science); Energy system; Environmental resource management; State of art; Climate system; Environmental science; Energy (signal processing); Environmental planning; Climate change; Computer science; Data science; Geology; Mathematics; Oceanography","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":[0.01244971,0.001487511,0.002199448,0.01194006,0.000775316,0.006032865,0.002556441,0.002224812,0.004148508],"category_scores_gemma":[0.03591699,0.0009312957,0.002586536,0.01717559,0.001840851,0.005839451,0.002182974,0.002250879,0.001217863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003120919,"about_ca_system_score_gemma":0.01801305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009531921,"about_ca_topic_score_gemma":0.01512186,"domain_scores_codex":[0.9939759,0.002441804,0.00103289,0.0007621793,0.001572444,0.0002147313],"domain_scores_gemma":[0.9546052,0.03694279,0.002587616,0.0009506299,0.004534233,0.0003795189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006143273,0.00007825867,0.002492934,0.226703,0.0009532326,0.000370654,0.002266747,0.00708351,0.0009540289,0.0678361,0.0264468,0.6647533],"study_design_scores_gemma":[0.00001151454,0.00008828492,0.0028303,0.1709269,0.001717701,0.0004029798,0.001959337,0.00228471,0.0008727339,0.02072381,0.7980794,0.0001022427],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008309666,0.9890695,0.004090998,0.00257377,0.0004290204,0.00004205553,0.0002824737,0.00003504046,0.0026462],"genre_scores_gemma":[0.008627549,0.9864574,0.003450659,0.0005463205,0.0002489116,0.00006068005,0.0003541141,0.00002496782,0.0002293737],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01244971,"threshold_uncertainty_score":0.06584114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03465474231341983,"score_gpt":0.2662370158313624,"score_spread":0.2315822735179426,"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."}}