{"id":"W2038855350","doi":"10.5539/jas.v5n8p57","title":"Improved Method for Estimating Soil Moisture Deficit in Oil Palm (Elaeis guineensis Jacq.) Areas With Limited Climatic Data","year":2013,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Oil Palm Production and Sustainability","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Evapotranspiration; Elaeis guineensis; Water content; Environmental science; Deficit irrigation; Irrigation; Palm oil; Soil water; Moisture; Water balance; Water use; Hydrology (agriculture); Agronomy; Soil science; Agroforestry; Irrigation management; Geography; Biology; Ecology; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007114032,0.0004567262,0.0003743923,0.001345434,0.0002094128,0.0003367831,0.0004957297,0.0003520622,0.0006484048],"category_scores_gemma":[0.001478631,0.0002254424,0.0002315292,0.0008928614,0.0000999104,0.0004024023,0.0003606638,0.0003508493,0.0002942011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002934889,"about_ca_system_score_gemma":0.0003666738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00697012,"about_ca_topic_score_gemma":0.0108651,"domain_scores_codex":[0.9996384,0.0001017498,0.00002391903,0.0001100819,0.0001053609,0.00002041795],"domain_scores_gemma":[0.9994413,0.0002238605,0.0001009141,0.00004607759,0.0001678013,0.00002000766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000785188,0.0003444656,0.2632555,0.0004147532,0.0002218667,0.0002876795,0.0004284811,0.05678202,0.1511209,0.0004571639,0.001627641,0.5242743],"study_design_scores_gemma":[0.00006942266,0.0003116968,0.2355468,0.0000239029,0.00009249318,0.0004902106,0.000168181,0.7258136,0.03496205,0.0003767376,0.002045715,0.00009915057],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5532448,0.0004004788,0.441417,0.00005888967,0.00004090746,0.000172583,0.001481867,0.001687446,0.001495956],"genre_scores_gemma":[0.8021361,0.0001438756,0.1958589,0.00001729685,0.0000120181,0.0001556407,0.0007954547,0.00004500896,0.0008357061],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.00697012,"threshold_uncertainty_score":0.01385909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01529126537638041,"score_gpt":0.2633523895975423,"score_spread":0.2480611242211619,"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."}}