{"id":"W2101320189","doi":"10.1657/1938-4246-43.2.267","title":"Nitrogen Inputs by Associative Cyanobacteria across a Low Arctic Tundra Landscape","year":2011,"lang":"en","type":"article","venue":"Arctic Antarctic and Alpine Research","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; University of Northern British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia; Australian Government; University of Saskatchewan; University of Northern British Columbia","keywords":"Tundra; Ecosystem; Arctic; Arctic vegetation; Environmental science; Growing season; Ecology; Terrestrial ecosystem; Nutrient; Agronomy; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0002425566,0.0002741045,0.0002648682,0.0008638013,0.0007123109,0.0006406644,0.0003391889,0.0001579091,0.0003229872],"category_scores_gemma":[0.0004213628,0.0001701435,0.0002538239,0.0008406795,0.0003835089,0.0001935942,0.0004125577,0.0001532406,0.0000500752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002987329,"about_ca_system_score_gemma":0.001293527,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5675861,"about_ca_topic_score_gemma":0.7074007,"domain_scores_codex":[0.9998062,0.0000276493,0.00001169183,0.0000677639,0.00003392704,0.00005269713],"domain_scores_gemma":[0.9996974,0.00003774936,0.00008247836,0.00001384098,0.00009222519,0.00007631451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001340766,0.00002982274,0.971505,0.00002308717,0.0001090151,0.00009405154,0.0002725705,0.001332042,0.02229449,0.00004405329,0.00004986505,0.004111836],"study_design_scores_gemma":[0.000002025015,0.00001265339,0.9983751,0.000002283244,0.00001684894,0.00002069305,0.0001447514,0.001089311,0.0002566626,0.000008089014,0.00006912909,0.000002549981],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997745,0.00003468009,0.00002960168,0.000004351142,3.055045e-7,9.773842e-7,0.00005503368,0.000002661741,0.00009786936],"genre_scores_gemma":[0.999693,0.00004082136,0.0001074627,0.000004230889,5.188796e-7,0.000001845336,0.00009019379,0.000001376085,0.00006057167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5675861,"threshold_uncertainty_score":0.869921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07861155604218749,"score_gpt":0.3141629022581906,"score_spread":0.2355513462160031,"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."}}