{"id":"W2155188666","doi":"10.1111/j.1574-0862.2004.tb00223.x","title":"Calculating the cost of irrigation induced soil salinization in the tungabhadra project","year":2004,"lang":"en","type":"article","venue":"Agricultural Economics","topic":"Water resources management and optimization","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Acadia University","funders":"Shastri Indo-Canadian Institute","keywords":"Soil salinity; Irrigation; Environmental science; Soil retrogression and degradation; Production (economics); Natural resource economics; Range (aeronautics); Water resource management; Soil water; Distribution (mathematics); Economics; Agricultural engineering; Soil science; Mathematics; Microeconomics; Ecology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006315085,0.0003180596,0.0003093716,0.001173402,0.0005611473,0.001037372,0.0005539305,0.0005492232,0.002568321],"category_scores_gemma":[0.002682988,0.0004374468,0.0004878634,0.001381192,0.000523721,0.0007650119,0.0007184445,0.0005848625,0.0001525621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003198266,"about_ca_system_score_gemma":0.001471933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04205655,"about_ca_topic_score_gemma":0.0310909,"domain_scores_codex":[0.9996824,0.00009932013,0.0000159834,0.00003534886,0.00008243765,0.00008448336],"domain_scores_gemma":[0.9986261,0.0007647174,0.0001636846,0.00006844956,0.0002515808,0.0001255322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0002412186,0.00006162515,0.03369575,0.00003590951,0.00003890513,0.0003270901,0.00003812849,0.9555658,0.0006533986,0.002863395,0.0003669834,0.006111868],"study_design_scores_gemma":[0.00003894935,0.0002017944,0.03139622,0.00001060297,0.00003653646,0.0001564061,0.000277557,0.9639636,0.001240841,0.002182756,0.0004721964,0.00002249028],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951938,0.00002221159,0.002094932,0.00005973021,0.000002442876,0.00002794585,0.0002772823,0.00002236583,0.002299152],"genre_scores_gemma":[0.9981191,0.00001952528,0.001143743,0.000002568641,7.526382e-7,0.00001687221,0.000157158,0.000007092557,0.0005333194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04205655,"threshold_uncertainty_score":0.08362353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01704627885725462,"score_gpt":0.1961096637008263,"score_spread":0.1790633848435717,"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."}}