{"id":"W2809817785","doi":"10.1007/s13157-018-1058-x","title":"Effects of Simulated Treated Domestic Wastewater on Sphagnum Productivity, Decomposition and Nutrient Dynamics in a Subarctic Ladder Fen","year":2018,"lang":"en","type":"article","venue":"Wetlands","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Laurentian University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Subarctic climate; Sphagnum; Nutrient; Wetland; Environmental science; Wastewater; Productivity; Ecology; Environmental chemistry; Soil science; Peat; Environmental engineering; Chemistry; Biology; Economics","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":[0.0001498496,0.0001501207,0.000230359,0.00009189294,0.00006012703,0.0000133617,0.00008654858,0.00009298768,0.0001203802],"category_scores_gemma":[0.00003772792,0.0001162937,0.00002577949,0.0002423319,0.000184398,0.00008156503,0.00009456924,0.00009357627,0.00004256989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001595872,"about_ca_system_score_gemma":0.000004693959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003383883,"about_ca_topic_score_gemma":0.001307786,"domain_scores_codex":[0.9989847,0.00008247139,0.0001876825,0.0003347282,0.0001366335,0.0002737877],"domain_scores_gemma":[0.9995636,0.0001218515,0.00006478836,0.0001663134,0.000009752401,0.00007364027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003653985,0.0004625455,0.9833682,0.0000513558,0.00001908841,0.00005129806,0.0002801584,0.0002054414,0.01411808,0.00006061724,0.00008850243,0.000929388],"study_design_scores_gemma":[0.002709114,0.001549087,0.9492567,0.00005555476,0.000039006,0.00003080561,0.00001378947,0.02247815,0.02275874,0.0008033454,0.00009733492,0.000208374],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980133,0.000009227258,0.00003130461,0.0001609267,0.00008527046,0.0003301547,0.000004374797,0.00002285634,0.00134265],"genre_scores_gemma":[0.9996319,0.000009938662,0.00004103257,0.00004404933,0.00004041507,0.00001309792,0.00003505778,0.00001255349,0.0001719044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03411144,"threshold_uncertainty_score":0.4742319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003856194761325691,"score_gpt":0.2303243945367144,"score_spread":0.2264681997753887,"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."}}