{"id":"W1872038746","doi":"10.1111/j.1949-3606.2012.00175.x","title":"Palestinian Water: Resources, Use, Conservation, Climate Change, and Land Use","year":2012,"lang":"en","type":"article","venue":"Digest of Middle East Studies","topic":"Transboundary Water Resource Management","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Urbanization; Climate change; Water resources; Water conservation; Overdraft; Sustainability; Water quality; Population; Land use; Water use; Resource (disambiguation); Water resource management; Environmental science; Integrated water resources management; Land use, land-use change and forestry; Natural resource economics; Environmental planning; Business; Ecology; Economics","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":[0.0006262405,0.0001509588,0.000255326,0.00008636645,0.0006249383,0.0001127642,0.0001182651,0.00004763643,0.000007461571],"category_scores_gemma":[0.0001587166,0.0001164898,0.00003393894,0.0001494766,0.0006812614,0.0006130387,0.0001559431,0.00006419802,0.00001774055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002942999,"about_ca_system_score_gemma":0.000005880658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002344146,"about_ca_topic_score_gemma":0.004256172,"domain_scores_codex":[0.9985752,0.000153133,0.0002440801,0.0001856715,0.000309452,0.0005324655],"domain_scores_gemma":[0.9993769,0.0001179685,0.00008274289,0.0001595715,0.0001492345,0.0001136135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000186262,0.00005097443,0.8136678,0.00009356386,0.00005950515,0.00000149612,0.1838566,7.546783e-7,0.0000132368,0.001655525,0.00006489417,0.0005169635],"study_design_scores_gemma":[0.0002502655,0.00002776527,0.6118768,0.00009821835,0.00004470956,8.406014e-7,0.01119081,7.261724e-7,0.00002794024,0.00004192993,0.3762999,0.0001401197],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931875,0.002106249,0.000002033817,0.002408237,0.0001992748,0.0003672492,0.00003157986,0.00007624392,0.001621674],"genre_scores_gemma":[0.9973361,0.001412247,0.0001194643,0.0002774102,0.0002355195,0.00004351804,0.000009508723,0.00001595305,0.0005503002],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.376235,"threshold_uncertainty_score":0.4806584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2076265773998019,"score_gpt":0.2996284664489827,"score_spread":0.09200188904918077,"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."}}