{"id":"W3014774880","doi":"10.3390/w12040989","title":"Deficit and Recovery of Deep Soil Water Following a Full Cycle of Afforestation and Deforestation of Apple Trees on the Loess Plateau, China","year":2020,"lang":"en","type":"article","venue":"Water","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Fundamental Research Funds for the Central Universities; Higher Education Discipline Innovation Project; National Natural Science Foundation of China","keywords":"Environmental science; Orchard; Soil water; Water storage; Water balance; Afforestation; Loess; Water content; Hydrology (agriculture); Agronomy; Soil science; Agroforestry; Geology; 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":[0.0002445203,0.0002277078,0.0002784395,0.0005291154,0.0003551687,0.0003366537,0.0002540551,0.0002171409,0.0002844624],"category_scores_gemma":[0.0001926914,0.0001304245,0.0002311308,0.0004089904,0.0003249884,0.0003506647,0.0003281369,0.0001886722,0.00004077764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007149401,"about_ca_system_score_gemma":0.0004879778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02147397,"about_ca_topic_score_gemma":0.04256958,"domain_scores_codex":[0.9998871,0.00000910248,0.000009166114,0.00003779236,0.00002748213,0.00002923059],"domain_scores_gemma":[0.9998,0.00001635129,0.00006348173,0.000009808131,0.00004903294,0.00006133585],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002785544,0.0001379831,0.902616,0.0000764213,0.00009843582,0.000518002,0.0009588999,0.000792901,0.08558545,0.0000780644,0.0001036326,0.008755614],"study_design_scores_gemma":[0.000002318273,0.00003973121,0.9986426,0.000001211479,0.000007479511,0.00002289649,0.00009210846,0.000494083,0.000634727,0.00001162255,0.00004752959,0.000003679854],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998735,0.00001985566,0.00002366673,0.000003761062,4.4603e-7,0.000001301191,0.00002586991,0.00000140126,0.00005002731],"genre_scores_gemma":[0.999712,0.00002117269,0.00003577653,0.000006728933,0.0000012598,0.000003404111,0.0001098404,6.609077e-7,0.0001090114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02147397,"threshold_uncertainty_score":0.04269797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006544711860105372,"score_gpt":0.1849822742742044,"score_spread":0.1784375624140991,"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."}}