{"id":"W2905573376","doi":"10.1002/hyp.13346","title":"Water mining from the deep critical zone by apple trees growing on loess","year":2018,"lang":"en","type":"article","venue":"Hydrological Processes","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":149,"is_retracted":false,"has_abstract":true,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan","funders":"National Natural Science Foundation of China","keywords":"Orchard; DNS root zone; Loess; Soil horizon; Environmental science; Soil water; Water use; Loess plateau; Ecohydrology; Geology; Agronomy; Soil science; Biology; Ecology; Ecosystem","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001292335,0.0001288161,0.0001134407,0.00000747774,0.0002920791,0.00006133476,0.0002903936,0.00009818689,0.001713841],"category_scores_gemma":[0.0001113479,0.00006185756,0.00002697244,0.00009966329,0.0004975143,0.0001703915,0.0001518634,0.0001315189,0.0006535355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002130082,"about_ca_system_score_gemma":0.000002401563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001051022,"about_ca_topic_score_gemma":0.0001654154,"domain_scores_codex":[0.9989555,0.00004584393,0.0001433677,0.0003192275,0.0002264725,0.0003095542],"domain_scores_gemma":[0.9994408,0.000317357,0.00001906183,0.0001484151,0.000008172675,0.00006622502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001684723,0.004492764,0.4649955,0.000140899,0.0003249033,0.000457262,0.02299819,0.0519963,0.3377073,0.00395522,0.05562712,0.05561978],"study_design_scores_gemma":[0.002439034,0.003534665,0.02008202,0.0001893154,0.0003286373,0.0001271458,0.001116611,0.3876297,0.1519901,0.05433832,0.3751904,0.003034037],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893346,0.00006207929,0.003222776,0.00198681,0.0000605028,0.0000726184,0.00002694237,0.00006314264,0.005170505],"genre_scores_gemma":[0.9973787,0.00001137148,0.0002884738,0.001950744,0.0001026622,0.0000207609,0.00006053844,0.000008118413,0.0001786177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4449135,"threshold_uncertainty_score":0.9991987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01132809859231807,"score_gpt":0.2181603066601072,"score_spread":0.2068322080677891,"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."}}