{"id":"W2570865185","doi":"10.1007/s10533-016-0290-9","title":"Coupling of reactive riverine phosphorus and iron species during hot transport moments: impacts of land cover and seasonality","year":2017,"lang":"en","type":"article","venue":"Biogeochemistry","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Office of Experimental Program to Stimulate Competitive Research; National Research Council Canada; Woods Hole Oceanographic Institution; National Science Foundation","keywords":"Surface runoff; Environmental science; Hydrology (agriculture); Snowmelt; Sediment; Seasonality; Eutrophication; Ecology; Nutrient; Geology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0001475192,0.0001319974,0.000220796,0.000383136,0.0003260573,0.0004657282,0.0002604043,0.0004385242,0.001415314],"category_scores_gemma":[0.0004056923,0.0002305731,0.0001575835,0.0002740423,0.0002687008,0.0003907139,0.0003122938,0.0001834647,0.000138602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003625049,"about_ca_system_score_gemma":0.0001770839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009447862,"about_ca_topic_score_gemma":0.0132803,"domain_scores_codex":[0.9999554,0.000006362782,0.000002184413,0.00001527035,0.000005177401,0.00001572374],"domain_scores_gemma":[0.9998166,0.00005130804,0.00004156169,0.0000107613,0.00003910613,0.00004072914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003204281,0.0003814879,0.7325481,0.0000663836,0.000268317,0.000816662,0.0007552744,0.00490951,0.2462126,0.0005466611,0.0005470922,0.00974361],"study_design_scores_gemma":[0.00001326727,0.00005987506,0.992763,0.000002251038,0.00001679184,0.00004062534,0.0002519582,0.004534216,0.002059407,0.0001091628,0.0001425278,0.000006970508],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995493,0.00001713893,0.0000844904,0.00001843058,0.000001891417,0.000002273693,0.00005781036,0.000004275263,0.0002643912],"genre_scores_gemma":[0.9997486,0.00000754463,0.00002785193,0.000004213849,0.000001987818,0.000001964633,0.00005878165,0.000002045092,0.0001469574],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009447862,"threshold_uncertainty_score":0.01878577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007037802081036025,"score_gpt":0.2075000580073124,"score_spread":0.2004622559262764,"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."}}