{"id":"W2001602600","doi":"10.1007/s10706-006-9106-3","title":"Prediction of the water balance of two soil cover systems","year":2006,"lang":"en","type":"article","venue":"Geotechnical and Geological Engineering","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"Vale (Canada); Inro Consultants (Canada); Western University","funders":"","keywords":"Environmental science; Hydrogeology; Vadose zone; Water balance; Hydrology (agriculture); Geotechnical engineering; Biosphere; Phreatic; Snowmelt; Soil science; Groundwater; Soil water; Geology; Aquifer; Snow","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":[0.0002043549,0.0003607069,0.0003403234,0.0004307008,0.0002906939,0.000492533,0.0002710008,0.0006920162,0.0008182937],"category_scores_gemma":[0.0008050462,0.0002552217,0.0002470291,0.0002659053,0.0004560111,0.0004733135,0.0002566274,0.0003208805,0.00006482453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007387091,"about_ca_system_score_gemma":0.0005900746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03192794,"about_ca_topic_score_gemma":0.01560822,"domain_scores_codex":[0.9999471,0.000009373223,0.000001858076,0.00001490454,0.000009209847,0.0000175819],"domain_scores_gemma":[0.9996018,0.000222583,0.00003998389,0.0000156439,0.00004826962,0.00007165856],"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":[0.0001788509,0.0001035528,0.02020196,0.00001179193,0.00002311623,0.00005590888,0.00002979814,0.9701505,0.003888683,0.0004389941,0.0001479153,0.004768825],"study_design_scores_gemma":[0.00001581559,0.00002198229,0.006026006,6.110939e-7,0.000003489323,0.000002579543,0.000007329551,0.9933037,0.0004890944,0.0001011141,0.000025325,0.000002907289],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978133,0.00001054335,0.001564512,0.00002910261,0.00000347735,0.000004650391,0.00007889438,0.00003623941,0.0004592366],"genre_scores_gemma":[0.9992637,0.000006055648,0.0004622414,0.000002274329,0.000001454289,0.000002499642,0.00005370543,0.000002311676,0.0002058746],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03192794,"threshold_uncertainty_score":0.06348419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005913826690671898,"score_gpt":0.1561431989938199,"score_spread":0.150229372303148,"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."}}