{"id":"W2560534069","doi":"10.1073/pnas.1614342113","title":"Impact of the Syrian refugee crisis on land use and transboundary freshwater resources","year":2016,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Transboundary Water Resource Management","field":"Social Sciences","cited_by":134,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Refugee; Geography; Agriculture; Water resources; Watershed; Middle East; Land use; Agricultural land; Abandonment (legal); Water resource management; Hydrology (agriculture); Environmental science; Archaeology; Geology; Political science; 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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001733161,0.0001022351,0.0001511569,0.0001466938,0.0005756434,0.00009831545,0.001009014,0.00007143552,0.00003603065],"category_scores_gemma":[0.0004226138,0.00004286669,0.0001376898,0.000513993,0.002927589,0.0005495847,0.0001025555,0.00009994344,7.220372e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006237811,"about_ca_system_score_gemma":0.00004291782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004667328,"about_ca_topic_score_gemma":0.00002677434,"domain_scores_codex":[0.9977247,0.00004058099,0.0002815244,0.0002337133,0.001510744,0.0002087605],"domain_scores_gemma":[0.9992445,0.0002534799,0.0002834691,0.00001800252,0.0001529262,0.00004762229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001597758,0.0001541707,0.8302375,0.0001090788,0.0001447519,2.038534e-8,0.02108561,0.00007032455,0.07827004,0.06367341,0.004052096,0.002043192],"study_design_scores_gemma":[0.0004004998,0.0001295434,0.9203052,0.0002667393,0.00003223614,0.000001244805,0.0006774039,0.000008669928,0.02321546,0.03071515,0.02412164,0.0001261958],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9797031,0.00003386438,3.961021e-7,0.01722331,0.00001838005,0.0002373286,0.00006062194,0.00001048071,0.002712523],"genre_scores_gemma":[0.9992715,0.00003455121,0.0001153061,0.0001765087,0.00005751546,0.00000477466,2.575031e-8,0.000004510021,0.0003353314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09006768,"threshold_uncertainty_score":0.9997859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04269045119260088,"score_gpt":0.3157627215186496,"score_spread":0.2730722703260487,"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."}}