{"id":"W4413973549","doi":"10.1016/j.jhydrol.2025.134197","title":"Interplay of Climate Change, Policy, and Human Behavior in Lake Basins: Identifying Key Factors and Future Climate Hotspots (Case Study: Urmia Lake Basin, Iran)","year":2025,"lang":"en","type":"article","venue":"Journal of Hydrology","topic":"Transboundary Water Resource Management","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute on Governance","funders":"National Aeronautics and Space Administration","keywords":"Climate change; Structural basin; Physical geography; Climatology; Hydrology (agriculture); Environmental science; Geography; Geology; Oceanography; Geomorphology","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":[0.001416363,0.0001915908,0.0005471521,0.001019544,0.0003752375,0.0001185522,0.0002547938,0.0001406195,0.00005468835],"category_scores_gemma":[0.0000331507,0.0001645377,0.0000935608,0.0003880743,0.000342758,0.0003233942,0.0001835953,0.0003518651,5.766553e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006313548,"about_ca_system_score_gemma":0.00003910431,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001921159,"about_ca_topic_score_gemma":0.2811863,"domain_scores_codex":[0.9978463,0.0005040188,0.0006936816,0.0002330587,0.0002650805,0.0004578505],"domain_scores_gemma":[0.9992097,0.00008764813,0.0003791475,0.0001473696,0.00006157659,0.0001145808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001029844,0.0002902588,0.9415585,0.00009024858,0.00006854322,0.001385801,0.05227979,0.000002335787,0.0001099116,0.0008344854,0.00001135131,0.003265723],"study_design_scores_gemma":[0.001867009,0.0006169545,0.9401351,0.0001113834,0.0002352985,0.0002334966,0.02590865,0.000004280429,0.00001813708,0.0002113188,0.03049311,0.0001652986],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961667,0.0002260345,0.000003662347,0.001874314,0.0003652075,0.0004705405,0.00004620017,0.00001496448,0.0008323988],"genre_scores_gemma":[0.998744,0.0006715414,0.00003771726,0.0002542459,0.0002443452,0.0000103451,0.000001642499,0.00001387537,0.00002233824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2792652,"threshold_uncertainty_score":0.7319301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03096624018038397,"score_gpt":0.3585222335869597,"score_spread":0.3275559934065757,"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."}}