{"id":"W2760559022","doi":"10.2495/sdp-v13-n3-445-456","title":"Impact of groundwater salinity on agricultural productivity with climate change implications","year":2018,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre; United States Agency for International Development","keywords":"Climate change; Groundwater; Environmental science; Agriculture; Productivity; Salinity; Agricultural productivity; Water resource management; Natural resource economics; Geography; Geology; Economics; Geotechnical engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005196879,0.0002779143,0.0001912108,0.0004208973,0.0003434552,0.0008022563,0.0002710057,0.0003146386,0.002674041],"category_scores_gemma":[0.001731109,0.0000948294,0.0003787088,0.001274769,0.000517113,0.0006776636,0.0009315858,0.0002613991,0.0001798611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001058021,"about_ca_system_score_gemma":0.000676378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01031557,"about_ca_topic_score_gemma":0.01334814,"domain_scores_codex":[0.9996349,0.0001067303,0.00002047055,0.00004220925,0.0001027444,0.00009300184],"domain_scores_gemma":[0.9989144,0.0003114727,0.0003598539,0.000053274,0.0002559169,0.0001050921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001761968,0.0001025655,0.9310704,0.0001238072,0.000126424,0.0009283274,0.0004116922,0.01744407,0.01407705,0.001656118,0.0004382847,0.03344502],"study_design_scores_gemma":[0.000004319583,0.0001787184,0.9893178,0.00001148519,0.00003476397,0.0002047802,0.001118301,0.004226976,0.001598066,0.001115087,0.002177312,0.00001234536],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912049,0.0003086332,0.001319964,0.0006877172,0.00001892751,0.000011496,0.0004287331,0.00002130518,0.005998299],"genre_scores_gemma":[0.9993652,0.0002008173,0.0001314147,0.00002486703,0.000009613231,0.00000209708,0.00006504772,0.000001749635,0.0001991586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01031557,"threshold_uncertainty_score":0.02051103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0235189767980449,"score_gpt":0.2620740865214831,"score_spread":0.2385551097234382,"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."}}