{"id":"W4410058601","doi":"10.63471/sa24001","title":"The Economics of Water-Efficient Agriculture: Tackling Scarcity with Innovation","year":2024,"lang":"en","type":"article","venue":"Journal of Sustainable Agricultural Economics","topic":"Water resources management and optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wycliffe College","funders":"","keywords":"Scarcity; Water scarcity; Agriculture; Natural resource economics; Economics; Agricultural economics; Business; Geography; Microeconomics","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":[0.0003504878,0.0001425237,0.0001859412,0.0001488835,0.0001136029,0.0003233032,0.0001956156,0.00005085383,0.00000450084],"category_scores_gemma":[0.000007640087,0.00006245622,0.00007609851,0.0002816794,0.0000339679,0.00047927,0.00004382432,0.0001693028,0.000002484163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003030529,"about_ca_system_score_gemma":0.00002079522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007437694,"about_ca_topic_score_gemma":0.000006451608,"domain_scores_codex":[0.9990411,0.00001116931,0.0005445766,0.00008966455,0.00006092645,0.0002525875],"domain_scores_gemma":[0.9994066,0.00003058248,0.0001503695,0.00008352606,0.0002951639,0.00003371694],"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":[0.00001859421,0.000009196837,0.00003738767,0.0001290847,0.0001381953,0.000007094245,0.0004199116,0.9867411,0.0003258004,0.01087937,0.0006816266,0.000612648],"study_design_scores_gemma":[0.001883099,0.0007503137,0.004079981,0.0003846139,0.0004913714,0.0003686325,0.03911858,0.6119149,0.07471844,0.003448272,0.2615474,0.001294397],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957687,0.0004217411,0.001506724,0.0004081006,0.0002852174,0.0001802094,0.000001858138,0.00003489443,0.001392594],"genre_scores_gemma":[0.9981686,0.0004825682,0.0002475686,0.000007996202,0.0002212632,0.000003715533,0.00001440746,0.00001471359,0.0008391847],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3748261,"threshold_uncertainty_score":0.311762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003356445553423317,"score_gpt":0.1534151346907476,"score_spread":0.1500586891373243,"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."}}