{"id":"W6894271199","doi":"10.5683/sp3/pvbg2s","title":"Data for: Response of boreal plant communities and forest floor carbon fluxes to experimental nutrient additions","year":2023,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University; University of Saskatchewan","funders":"","keywords":"Forest floor; Understory; Boreal; Peat; Plant community; Canopy; Nutrient; Taiga; Permafrost; Soil carbon","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00173086,0.001176093,0.0009355431,0.001538484,0.0007472987,0.001922398,0.001863316,0.001543587,0.127361],"category_scores_gemma":[0.006781287,0.0006237003,0.0009980031,0.00261822,0.0003725489,0.001795823,0.001582184,0.001606328,0.06949918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00111845,"about_ca_system_score_gemma":0.001686325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02766606,"about_ca_topic_score_gemma":0.04796813,"domain_scores_codex":[0.9988208,0.0001194393,0.0001512548,0.0003036843,0.00045045,0.0001543349],"domain_scores_gemma":[0.9951696,0.001128149,0.0004576897,0.0009865633,0.001885505,0.0003724495],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009456826,0.00004875112,0.004354538,0.000320404,0.00003093533,0.00002230531,0.0000474337,0.0004061462,0.0003033715,0.0005568638,0.9896476,0.004167161],"study_design_scores_gemma":[0.0004657779,0.00004831117,0.03704646,0.0002320319,0.00003472675,0.00004482393,0.0001913895,0.0007729065,0.0008426181,0.001482831,0.9587707,0.00006744493],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003895616,0.00001417528,0.00008671534,0.00008037851,0.00005823325,0.00001537824,0.997823,0.0003254141,0.00120716],"genre_scores_gemma":[0.002054061,0.00002507904,0.0007682998,0.00007968581,0.00002213662,0.0001418489,0.9945181,0.0002741917,0.002116701],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.127361,"threshold_uncertainty_score":0.426065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07860042641173907,"score_gpt":0.3309822946964602,"score_spread":0.2523818682847211,"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."}}