{"id":"W2108967012","doi":"10.1007/s10021-014-9820-2","title":"Vegetation Composition in Bogs is Sensitive to Both Load and Concentration of Deposited Nitrogen: A Modeling Analysis","year":2014,"lang":"en","type":"article","venue":"Ecosystems","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Environment and Climate Change Canada","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Bog; Peat; Graminoid; Sphagnum; Nitrogen; Shrub; Nutrient; Deposition (geology); Environmental science; Mire; Moss; Ecosystem; Wetland; Vegetation (pathology); Agronomy; Ecology; Chemistry; Plant community; Biology; Ecological succession","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002433672,0.0000643856,0.0001824244,0.00005392169,0.00003583411,0.00001319579,0.00003104247,0.00004430757,0.0000155901],"category_scores_gemma":[0.000007816952,0.00006230457,0.00002810562,0.0002647858,0.00001174599,0.00007974858,0.00002099102,0.00003044542,0.00001327948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000103244,"about_ca_system_score_gemma":0.000004673894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001749542,"about_ca_topic_score_gemma":0.007283912,"domain_scores_codex":[0.9992844,0.00008954024,0.0002130692,0.0001813762,0.0001187556,0.0001128427],"domain_scores_gemma":[0.9997614,0.00002876263,0.00006930305,0.00007834348,0.00001308106,0.00004908583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003997003,0.00003642344,0.8707699,0.00001838965,0.00005168838,0.000002013097,0.00218841,0.06937245,0.05715906,0.00004799223,0.00003461786,0.0002791248],"study_design_scores_gemma":[0.0003062492,0.00006432219,0.08609402,0.00001767936,0.00004658342,0.000003284529,0.00004588279,0.9091374,0.004171053,0.00002858917,0.00001450911,0.00007038465],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9754651,0.00001078226,0.02328551,0.00006946267,0.00002393026,0.0001541451,0.000004178607,0.00000754874,0.0009793283],"genre_scores_gemma":[0.9995873,0.000003961864,0.000240055,0.000113036,0.00001377068,0.000007901711,0.00002652686,0.000003322417,0.000004157012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.839765,"threshold_uncertainty_score":0.4064594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005977842898888374,"score_gpt":0.2098289907138719,"score_spread":0.2038511478149835,"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."}}