{"id":"W2910199136","doi":"10.5539/jas.v11n3p67","title":"Estimating Impacts of Land Use Change on Evapotranspiration for Three Agricultural Crops in Malta—A Preliminary Assessment","year":2019,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Horizon 2020 Framework Programme; Met Office","keywords":"Evapotranspiration; Environmental science; Water use; Agriculture; Crop coefficient; Water resources; Baseline (sea); Agricultural land; Farm water; Sustainability; Land use; Hydrology (agriculture); Crop; Water resource management; Irrigation; Agronomy; Water conservation; Geography; Forestry; Biology; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006000524,0.0001698447,0.0002704388,0.00007771495,0.0001485624,0.00006756843,0.0003884056,0.00004626255,0.00002635983],"category_scores_gemma":[0.00009024909,0.00008500055,0.00009545447,0.000577376,0.0001585585,0.002058886,0.0001126942,0.0001434468,0.000006122237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003907721,"about_ca_system_score_gemma":0.00002298371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000466539,"about_ca_topic_score_gemma":0.0008944548,"domain_scores_codex":[0.9980872,0.00003341031,0.0004692865,0.0002418428,0.0008027253,0.0003655727],"domain_scores_gemma":[0.9990414,0.0001250966,0.0005011253,0.0001047724,0.0001148268,0.0001128294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001543947,0.0003103777,0.352814,0.00005747192,0.00002079577,0.000007575558,0.001433661,0.05267499,0.5889583,0.0005626894,0.0002368344,0.002768882],"study_design_scores_gemma":[0.0005110357,0.001699081,0.9884219,0.000202355,0.00001558081,0.0000391278,0.0001533404,0.001647501,0.006878658,0.0002755165,0.00001153258,0.0001443335],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977096,0.00002619359,0.00006632473,0.000646178,0.0003207982,0.0003918167,0.000009583843,0.000006177122,0.0008233062],"genre_scores_gemma":[0.9950387,0.000003215675,0.004743522,0.00005444595,0.0001018743,0.00001204386,0.000001894931,0.000004133112,0.00004019879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6356079,"threshold_uncertainty_score":0.3466222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03196210534275343,"score_gpt":0.2677637294381741,"score_spread":0.2358016240954207,"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."}}