{"id":"W2999842777","doi":"10.1515/opag-2019-0075","title":"Phosphorous runoff risk assessment and its potential management using wollastonite according to geochemical modeling","year":2019,"lang":"en","type":"article","venue":"Open Agriculture","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Surface runoff; Environmental science; Phosphorus; Water quality; Algal bloom; Pollution; Agriculture; Environmental engineering; Nutrient; Environmental chemistry; Chemistry; Ecology; Phytoplankton","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002392493,0.0001864008,0.0002195335,0.00001515241,0.0002000956,0.0002478606,0.0003735558,0.00008578992,0.0003191401],"category_scores_gemma":[0.000002938759,0.0001352745,0.00003972079,0.0001862061,0.000006758856,0.0003076851,0.001103132,0.0001713341,0.0002554128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002302244,"about_ca_system_score_gemma":0.00000610482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005106151,"about_ca_topic_score_gemma":0.0001039615,"domain_scores_codex":[0.9987251,0.00003570033,0.0002138575,0.0004558986,0.0002834247,0.000286082],"domain_scores_gemma":[0.9995452,0.0000100553,0.00009444929,0.0001913906,0.0000122614,0.0001466654],"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":[0.00006227542,0.0001503118,0.08773935,0.00007633191,0.0001316886,0.00004069475,0.0005125219,0.8283257,0.07631511,0.000973635,0.001992333,0.003680017],"study_design_scores_gemma":[0.0006621073,0.00005414261,0.007957987,0.0001322274,0.00008473616,0.00004774758,0.001444808,0.9849831,0.0004116386,0.0002088334,0.003494218,0.0005183929],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9854702,0.00003875556,0.003249977,0.00008791428,0.0002422793,0.001038531,0.00002351639,0.00001719118,0.009831672],"genre_scores_gemma":[0.9873707,0.00003000978,0.01073222,0.0001004437,0.00004198374,0.0000217166,0.00001764648,0.00001303368,0.001672225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1566574,"threshold_uncertainty_score":0.5516335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007645049169283036,"score_gpt":0.2482059673146342,"score_spread":0.2405609181453512,"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."}}