{"id":"W3118764306","doi":"10.5194/egusphere-egu2020-11448","title":"Climate change or irrigated agriculture &amp;#8211; what drives the water level decline of Lake Urmia?","year":2020,"lang":"en","type":"article","venue":"","topic":"Transboundary Water Resource Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Inflow; Environmental science; Precipitation; Water balance; Climate change; Agriculture; Streamflow; Ecosystem; Hydrology (agriculture); Water level; Surface water; Water cycle; Geography; Ecology; Drainage basin; Meteorology; Environmental engineering; Biology; Geology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000440568,0.0001714492,0.000219767,0.00002985332,0.0004670764,0.0003512561,0.0006333228,0.00008841296,0.002199864],"category_scores_gemma":[0.00002678279,0.0000652224,0.0001088349,0.0003338661,0.0003352035,0.0004604217,0.0002444946,0.0001365944,0.0002861438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001818576,"about_ca_system_score_gemma":0.00001591451,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007949652,"about_ca_topic_score_gemma":0.05637135,"domain_scores_codex":[0.9982342,0.0001906824,0.0002833239,0.0002796993,0.0005238105,0.0004883548],"domain_scores_gemma":[0.9994655,0.0000417817,0.00006403946,0.0002015686,0.00008004707,0.0001470902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004309082,0.0003816476,0.01087464,0.0003947566,0.0004128673,0.00004209666,0.8988584,0.0001114515,0.006330242,0.01606964,0.01440692,0.05168637],"study_design_scores_gemma":[0.0003385406,0.00005467683,0.004410679,0.00003857373,0.00005398336,5.230286e-7,0.01404332,0.00001260464,0.001618775,0.000161518,0.979092,0.0001748212],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.4078039,0.0002831272,0.0006017212,0.5633492,0.0006586333,0.002731715,0.0001320078,0.0006446264,0.02379509],"genre_scores_gemma":[0.9791944,0.0008456613,0.0006406517,0.01090595,0.0004876301,0.00006697475,0.00008414505,0.00002590293,0.007748687],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9646851,"threshold_uncertainty_score":0.9987122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1282029035687091,"score_gpt":0.307738323904919,"score_spread":0.1795354203362099,"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."}}