{"id":"W7161975768","doi":"10.82308/4624","title":"Modeling subsurface drainage of agricultural fields in high time resolution using RZWQM2","year":2017,"lang":"en","type":"dissertation","venue":"","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Drainage; Hydrology (agriculture); Well drainage; Infiltration (HVAC); Water quality; Watertable control; Tile drainage; Drainage basin; DNS root zone","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002628248,0.0004615929,0.0003774518,0.0002779043,0.0002218145,0.0004999054,0.0008608371,0.0004636059,0.0009166918],"category_scores_gemma":[0.0004554691,0.0002396814,0.0005325919,0.000567743,0.0002092904,0.0004967883,0.0003737456,0.0003838668,0.0001649012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00065717,"about_ca_system_score_gemma":0.0008876193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03337573,"about_ca_topic_score_gemma":0.02506116,"domain_scores_codex":[0.9999033,0.00001865853,0.000008165809,0.00002572287,0.00002295375,0.00002108911],"domain_scores_gemma":[0.9998535,0.00004853903,0.00002660046,0.00001579284,0.00004212075,0.00001346848],"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":[0.00003353395,0.00005876737,0.005725166,0.00003057179,0.00001393209,0.00005941113,0.00003510673,0.9806083,0.005529264,0.0007006316,0.0003717699,0.006833381],"study_design_scores_gemma":[0.00001029735,0.000006892984,0.0008000052,6.533079e-7,0.000001784954,0.000003551732,0.000007976253,0.998492,0.0003840018,0.0001132349,0.0001772199,0.000002296895],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8675863,0.000123495,0.1238788,0.000215351,0.00002689964,0.000100542,0.002223693,0.001546081,0.004298834],"genre_scores_gemma":[0.9539543,0.0001021417,0.04332119,0.0000401813,0.000007435466,0.00009327823,0.001312833,0.0000754352,0.001093178],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03337573,"threshold_uncertainty_score":0.06636292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01112447751733476,"score_gpt":0.2299933468647935,"score_spread":0.2188688693474588,"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."}}