{"id":"W4307812410","doi":"10.1016/j.scitotenv.2022.159837","title":"Evaluating potential groundwater recharge in the unsteady state for deep-rooted afforestation in deep loess deposits","year":2022,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Soil erosion and sediment transport","field":"Agricultural and Biological Sciences","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Groundwater recharge; Groundwater; Depression-focused recharge; Hydrology (agriculture); Afforestation; Environmental science; Platycladus; Geology; Soil science; Aquifer; Agroforestry","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":[0.0003374275,0.0002142968,0.0002645986,0.0003497924,0.0003011706,0.0006993655,0.0002601403,0.0004856109,0.0007961297],"category_scores_gemma":[0.001239053,0.0001727754,0.0004182828,0.0003605158,0.000348971,0.0005933984,0.0003075246,0.0002324349,0.00004667529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009164124,"about_ca_system_score_gemma":0.0008340076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05137642,"about_ca_topic_score_gemma":0.06431681,"domain_scores_codex":[0.9999114,0.00002222528,0.000007824608,0.00001678273,0.00001319087,0.00002850165],"domain_scores_gemma":[0.9996717,0.0002114203,0.00002957922,0.00001475464,0.00004366059,0.0000289826],"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":[0.001690689,0.0004247002,0.3091613,0.00008179455,0.0001725976,0.0007245991,0.0002319571,0.6501496,0.02445467,0.0009873238,0.0001279694,0.01179273],"study_design_scores_gemma":[0.00007949131,0.0005897401,0.1751097,0.000009308142,0.00009211907,0.00006049792,0.0005479536,0.8135422,0.009073286,0.000696545,0.0001577056,0.00004136725],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994912,0.000008647362,0.0002551372,0.000008577106,8.315797e-7,0.000003462062,0.00004326362,0.00000612964,0.0001827802],"genre_scores_gemma":[0.999726,0.000006285802,0.0001293781,0.000001475625,4.0989e-7,0.000001583652,0.00004029842,9.985051e-7,0.000093542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05137642,"threshold_uncertainty_score":0.1021548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02915649527777959,"score_gpt":0.2437204936986757,"score_spread":0.2145639984208961,"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."}}