{"id":"W4322490148","doi":"10.1007/s11269-023-03464-6","title":"Synergetic Water Demand and Sustainable Supply Strategies in GCC Countries: Data-driven Recommendations","year":2023,"lang":"en","type":"article","venue":"Water Resources Management","topic":"Water resources management and optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Qatar University","keywords":"Greywater; Wastewater; Environmental science; Water resource management; Water resources; Water supply; Groundwater; Integrated water resources management; Reuse; Business; Environmental engineering; Waste management; Engineering","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":[0.0005636452,0.0002541528,0.0002139779,0.0006435235,0.0001933883,0.0005736985,0.0004639584,0.00005859506,0.000195911],"category_scores_gemma":[0.000002133495,0.0001857851,0.00002411512,0.0002806186,0.00005469231,0.0007161725,0.001049319,0.0001129847,0.0002566187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006616987,"about_ca_system_score_gemma":0.000001405201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006142887,"about_ca_topic_score_gemma":0.00006184347,"domain_scores_codex":[0.9980974,0.0000574411,0.0003573367,0.0004275481,0.0002274186,0.0008329118],"domain_scores_gemma":[0.9993357,0.00001653997,0.00001962093,0.0005408725,0.00002016859,0.00006710268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003661462,0.00004330257,0.002778135,0.001878396,0.000282047,0.0003455743,0.01583551,0.9512323,0.00009186943,0.00205591,0.02421934,0.001201015],"study_design_scores_gemma":[0.0008183629,0.00003197015,0.001633409,0.00008835307,0.00008023845,0.000001726653,0.009095669,0.2043811,0.0003398121,0.001152538,0.781929,0.0004478484],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9682682,0.0002283243,0.003796,0.002729191,0.0002565569,0.001363843,0.00002772613,0.001278218,0.02205196],"genre_scores_gemma":[0.98461,0.001121267,0.0004667548,0.00007551256,0.00006348718,0.0001323829,0.001307828,0.00007035761,0.01215246],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7577097,"threshold_uncertainty_score":0.7576095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01054431703221396,"score_gpt":0.2159370101131123,"score_spread":0.2053926930808984,"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."}}