{"id":"W2567752648","doi":"10.4236/gep.2017.51002","title":"Reduction in Water Stress for Tree Saplings Using Hydrogels in Soil","year":2017,"lang":"en","type":"article","venue":"Journal of Geoscience and Environment Protection","topic":"Geotechnical Engineering and Soil Stabilization","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Stress reduction; Water stress; Reduction (mathematics); Tree (set theory); Self-healing hydrogels; Stress (linguistics); Drought stress; Environmental science; Soil science; Agronomy; Mathematics; Chemical engineering; Engineering; Biology; Psychology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003682549,0.00005663477,0.00008821142,0.0001075932,0.00008355941,0.00003948887,0.00006422334,0.00005213836,0.00000137659],"category_scores_gemma":[0.00002386536,0.00004604264,0.00002071901,0.00002537582,0.00003548333,0.0003902723,0.00001289887,0.0001127755,2.564251e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009903184,"about_ca_system_score_gemma":0.000003165271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005990207,"about_ca_topic_score_gemma":0.00001491852,"domain_scores_codex":[0.9995141,0.000005523159,0.0001908152,0.00007604383,0.00009222722,0.0001212911],"domain_scores_gemma":[0.9998391,0.000003153736,0.00005329558,0.00007286417,0.000005312687,0.00002623922],"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":[0.000008684546,0.00001552453,0.0003401928,0.00002629597,0.00000115413,7.570477e-7,0.000132538,0.8255407,0.1451849,0.000002167447,1.474921e-7,0.02874698],"study_design_scores_gemma":[0.0005598152,0.0001309416,0.02062184,0.0001244155,0.000006702363,0.00003330252,0.0000944088,0.9180478,0.0593832,0.0006592313,0.0002189219,0.0001194297],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8912008,0.00003342863,0.1084422,0.0000712609,0.0001287577,0.0001104808,3.011099e-7,0.000005866594,0.000006828099],"genre_scores_gemma":[0.9991567,0.0001406023,0.0006362598,8.681328e-7,0.00004028147,0.000008255105,2.168582e-7,0.000005525547,0.00001129431],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1079558,"threshold_uncertainty_score":0.1877564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01831526406888819,"score_gpt":0.2136453929856482,"score_spread":0.19533012891676,"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."}}