{"id":"W2783991110","doi":"","title":"The effects of simulated wastewater nutrient amendments on Sphagnum productivity and decomposition within a subarctic ribbed fen1","year":2017,"lang":"en","type":"dissertation","venue":"Lu Zone Ul (Laurentian University)","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Subarctic climate; Sphagnum; Nutrient; Productivity; Environmental science; Wastewater; Decomposition; Agronomy; Environmental engineering; Biology; Ecology; Peat; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001332469,0.000260351,0.0003043367,0.000121332,0.0005710652,0.00005287329,0.0003427285,0.0001969039,0.00009228121],"category_scores_gemma":[0.00003713935,0.0002100164,0.00008695298,0.000134318,0.0001923147,0.0001640426,0.00009842147,0.0002529265,0.00002122889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001639118,"about_ca_system_score_gemma":0.00002025127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003040198,"about_ca_topic_score_gemma":0.007810392,"domain_scores_codex":[0.9986171,0.0001417655,0.0001760077,0.0005092694,0.0002635325,0.0002923968],"domain_scores_gemma":[0.9989285,0.00009400659,0.0004134053,0.0004348123,0.00002119329,0.000108021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.02897468,0.009191606,0.33285,0.005793392,0.004577917,0.002906379,0.04227443,0.003784226,0.510746,0.004519095,0.01165974,0.04272252],"study_design_scores_gemma":[0.01816764,0.006219,0.5025803,0.002188217,0.002883055,0.00004659379,0.004841703,0.001796525,0.4219257,0.00220327,0.03398433,0.003163689],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956701,0.00004547862,0.00001315196,0.00006543535,0.0007333465,0.0005875982,0.0000089805,0.00002196989,0.002853928],"genre_scores_gemma":[0.9796894,0.00008190661,0.0000147258,0.000006518841,0.00002786164,0.000002054533,0.000307685,0.00001711682,0.01985272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1697302,"threshold_uncertainty_score":0.8564219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004172457250129678,"score_gpt":0.2056406706836721,"score_spread":0.2014682134335424,"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."}}