{"id":"W4200549811","doi":"10.1016/j.jenvman.2021.114243","title":"Sustainable conjunctive water management model for alleviating water shortage","year":2021,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Water resources management and optimization","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"","keywords":"Water conservation; Water resources; Farm water; Conjunctive use; Water use; Surface water; Sustainability; Environmental science; Water resource management; Water scarcity; Natural resource economics; Groundwater; Resource (disambiguation); Integrated water resources management; Business; Environmental engineering; Economics; Aquifer; Engineering; Computer 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006851671,0.0007684493,0.0009158602,0.000557779,0.0008378632,0.00144489,0.001957337,0.001595998,0.008015918],"category_scores_gemma":[0.0009292592,0.0003942194,0.0007063467,0.0009529124,0.0006606111,0.001458024,0.001481895,0.0009502554,0.000350373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009879749,"about_ca_system_score_gemma":0.001741613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009802695,"about_ca_topic_score_gemma":0.009150242,"domain_scores_codex":[0.9996118,0.0001145025,0.00001545256,0.00008365157,0.00007942518,0.00009508325],"domain_scores_gemma":[0.9996775,0.0001188271,0.0000336591,0.0000209097,0.0001087669,0.00004034842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006664985,0.0000855872,0.0003638419,0.00007024284,0.00003277576,0.0001731766,0.00005202029,0.9675226,0.0013041,0.0189037,0.001769789,0.009655453],"study_design_scores_gemma":[0.00000942291,0.00002723101,0.00005737688,0.000002150608,0.000009338371,0.000009007779,0.00001661948,0.9963267,0.0001097001,0.003165542,0.0002631588,0.000003683612],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1726528,0.0005639926,0.7703343,0.001878406,0.0002940327,0.0002791119,0.000538226,0.0005099896,0.05294905],"genre_scores_gemma":[0.9641893,0.000213787,0.0243585,0.000116955,0.00004135197,0.0001799564,0.0001412806,0.0000312736,0.01072763],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009802695,"threshold_uncertainty_score":0.02681595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005229298468469511,"score_gpt":0.1680369413955322,"score_spread":0.1628076429270627,"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."}}