{"id":"W2981036963","doi":"10.5194/hess-2019-528","title":"How plant water status drives tree source water partitioning","year":2019,"lang":"en","type":"article","venue":"","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan","funders":"École Polytechnique Fédérale de Lausanne","keywords":"Environmental science; Salix viminalis; Soil water; Xylem; Water use; Evapotranspiration; Lysimeter; Water content; Water potential; Hydrology (agriculture); Willow; Soil science; Ecology; Geology; Botany; Biology","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":[0.0001697176,0.0001442304,0.0002681316,0.00018641,0.0002188009,0.0005030025,0.0002244675,0.0002006631,0.0005146191],"category_scores_gemma":[0.0002229858,0.0001624882,0.0001086434,0.0001694523,0.0002429204,0.0004801311,0.0003167744,0.0002580544,0.00008636958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003550405,"about_ca_system_score_gemma":0.0002197329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002514035,"about_ca_topic_score_gemma":0.003438638,"domain_scores_codex":[0.9999059,0.00001495199,0.000004537028,0.00004449653,0.00001444168,0.00001569311],"domain_scores_gemma":[0.9997949,0.00006389453,0.00004290126,0.00001849685,0.00003510814,0.00004466989],"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":[0.00009514916,0.00001925549,0.021029,0.00002690094,0.00001830355,0.00002108229,0.00009023899,0.0003621462,0.975881,0.0002005108,0.00005564311,0.002200785],"study_design_scores_gemma":[0.00001613267,0.0001961588,0.8680423,0.00000683836,0.00004213058,0.0000928571,0.000318484,0.01864703,0.1108695,0.0008033427,0.0009395172,0.00002576361],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985409,0.00007727008,0.001032977,0.00002204391,0.000001524087,0.000002992636,0.00007971925,0.00001928888,0.0002231779],"genre_scores_gemma":[0.999433,0.00002989955,0.0002857987,0.00001282403,0.000001086341,0.000003837342,0.00009835261,0.00000846699,0.0001267576],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002514035,"threshold_uncertainty_score":0.004998863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004598698690694738,"score_gpt":0.1601701203887294,"score_spread":0.1555714216980347,"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."}}