{"id":"W1970746310","doi":"10.1111/1365-2745.12237","title":"Evergreen shrubs dominate responses to experimental summer warming and fertilization in Canadian mesic low arctic tundra","year":2014,"lang":"en","type":"article","venue":"Journal of Ecology","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":97,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Aboriginal Affairs and Northern Development Canada; Aurora Research Institute; National Science Foundation","keywords":"Tundra; Evergreen; Shrub; Environmental science; Biomass (ecology); Global warming; Ecosystem; Agronomy; Arctic vegetation; Plant community; Ecology; Soil fertility; Climate change; Biology; Soil water","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000465809,0.00006609711,0.0001578436,0.0002857195,0.00006580134,0.00002408795,0.00008070828,0.00005275741,0.001601727],"category_scores_gemma":[0.0001519131,0.00005637152,0.00001861444,0.0001066688,0.0000300033,0.0001439389,0.000006852727,0.00008407507,0.00003252236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003218865,"about_ca_system_score_gemma":0.00008882309,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09663519,"about_ca_topic_score_gemma":0.9096527,"domain_scores_codex":[0.9992754,0.0001212598,0.0002062466,0.00008602341,0.00006768028,0.0002434212],"domain_scores_gemma":[0.9994088,0.0002090797,0.00007133744,0.00004639587,0.00003395917,0.0002303815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000164209,0.000007664053,0.9967633,0.000006709491,0.000004186107,0.00005426504,0.0008871903,0.0001314777,0.0006501134,0.00000499472,0.0001678132,0.001158047],"study_design_scores_gemma":[0.0003469945,0.0003233703,0.9954482,0.00002506196,0.000005487022,0.0001214712,0.0004638347,0.001396544,0.0002596452,0.00006779197,0.001471373,0.00007019715],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980709,0.0002578135,0.000001699413,0.001051393,0.0003270166,0.00005712325,0.00002407619,0.000001251375,0.0002087043],"genre_scores_gemma":[0.9988915,0.00004556175,0.00003587232,0.0008569179,0.00009387516,3.591593e-7,0.00001335803,0.000002396831,0.00006016189],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8130175,"threshold_uncertainty_score":0.999311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02825908465815333,"score_gpt":0.2667255921815674,"score_spread":0.2384665075234141,"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."}}