{"id":"W2922107223","doi":"10.1007/s10021-019-00354-0","title":"Natural Land Cover in Agricultural Catchments Alters Flood Effects on DOM Composition and Decreases Nutrient Levels in Streams","year":2019,"lang":"en","type":"article","venue":"Ecosystems","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada; Trent University","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Environmental science; Dissolved organic carbon; Nutrient; Hydrology (agriculture); STREAMS; Wetland; Land cover; Land use; Flood myth; Agricultural land; Biogeochemistry; Phosphorus; Ecology; Biology; Chemistry; Geography; Geology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009718471,0.0001443393,0.0001836455,0.0000467047,0.00002995423,0.00003730016,0.00008676734,0.00005243123,0.00001398294],"category_scores_gemma":[0.00000417651,0.0001049128,0.00002609944,0.0001339953,0.00001538056,0.0001810359,0.00006078111,0.0001007233,0.0002447485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002829326,"about_ca_system_score_gemma":0.000002558362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001523338,"about_ca_topic_score_gemma":0.0003640675,"domain_scores_codex":[0.9990182,0.0000783743,0.000180015,0.0002856361,0.0002055311,0.0002322673],"domain_scores_gemma":[0.9996891,0.00007295344,0.00005423,0.0001124018,0.000002765055,0.00006853928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004133511,0.0001145381,0.9963754,0.00004062226,0.000005529892,0.00001427242,0.0002707272,0.0009821913,0.001841671,0.0000122696,0.00007358226,0.0002278679],"study_design_scores_gemma":[0.002641011,0.00014655,0.9851983,0.0003011492,0.00000533974,0.00001513069,0.00006659747,0.006836947,0.004350066,0.0001178211,0.0001102794,0.0002108322],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983274,0.00005059078,0.000001450465,0.00004467641,0.0004627398,0.0005408548,0.00001398899,0.00001577933,0.0005424607],"genre_scores_gemma":[0.9997237,0.000007280694,0.0000121206,0.00005844844,0.00002945025,0.00002372813,0.00006263456,0.000006791027,0.00007583584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01117712,"threshold_uncertainty_score":0.4278222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003251516496550132,"score_gpt":0.1868972587334187,"score_spread":0.1836457422368686,"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."}}