{"id":"W4394530052","doi":"10.6084/m9.figshare.12962612","title":"Nutrient budgets calculated in floodwaters using a whole-ecosystem reservoir creation and flooding experiment","year":2021,"lang":"en","type":"dataset","venue":"Figshare","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Flooding (psychology); Environmental science; Ecosystem; Hydrology (agriculture); Nutrient; Water flooding; Water resource management; Ecology; Petroleum engineering; Geology; Geotechnical engineering; Biology","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":[0.001191446,0.001088208,0.0006502269,0.001456918,0.0005547468,0.001000632,0.00167591,0.001201067,0.01199584],"category_scores_gemma":[0.003017142,0.0005769556,0.0009503491,0.002978976,0.0002518583,0.0007391622,0.0008273252,0.0008823781,0.008286326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001553835,"about_ca_system_score_gemma":0.00139667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09738156,"about_ca_topic_score_gemma":0.1789286,"domain_scores_codex":[0.9996069,0.00006747468,0.00004581716,0.0001487811,0.00007573947,0.00005533794],"domain_scores_gemma":[0.9984634,0.0004216752,0.0002066133,0.0002797638,0.0004659101,0.0001627335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003882897,0.0001822299,0.04047613,0.001576174,0.0004711989,0.0001268823,0.000167485,0.008061756,0.0009830679,0.001454642,0.9387499,0.007362164],"study_design_scores_gemma":[0.002377088,0.0001209822,0.14981,0.0004962164,0.0002595848,0.0001390771,0.0004394549,0.01474339,0.001962358,0.002303496,0.827192,0.0001563377],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002471629,0.00003086602,0.00008532376,0.00003663662,0.000009042939,0.00001276558,0.996819,0.0001656943,0.000369045],"genre_scores_gemma":[0.003527955,0.00002742712,0.0005690366,0.00002663004,0.000003352703,0.00009010649,0.9953148,0.00003716801,0.000403489],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09738156,"threshold_uncertainty_score":0.1936295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02690444196656582,"score_gpt":0.2615369766258069,"score_spread":0.2346325346592411,"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."}}