{"id":"W649720990","doi":"10.1007/s11258-015-0485-5","title":"The lagg ecotone: an integrative part of bog ecosystems in North America","year":2015,"lang":"en","type":"article","venue":"Plant Ecology","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; Université Laval; Center for Northern Studies","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bog; Swamp; Ecotone; Ecology; Peat; Wetland; Mire; Applied ecology; Plant ecology; Vegetation (pathology); Habitat; Plant community; Biodiversity; Geography; Ecosystem; Environmental science; Biology; Species richness","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003092033,0.0001034211,0.0002420146,0.00003057194,0.00006086032,0.000007729723,0.0002766736,0.00007253282,0.000292968],"category_scores_gemma":[0.0000780853,0.00006356851,0.00002403287,0.0001413965,0.0001966843,0.00007496575,0.0001081057,0.0001257945,0.0001826445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001109956,"about_ca_system_score_gemma":0.00003113949,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001248611,"about_ca_topic_score_gemma":0.4213338,"domain_scores_codex":[0.9989153,0.000209456,0.0002644096,0.0002102085,0.00009295464,0.0003077062],"domain_scores_gemma":[0.9993285,0.0002361761,0.0001324649,0.0001900301,0.000007726052,0.0001050821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007351211,0.0001032433,0.9844459,0.000001467608,0.00000937612,0.00002780894,0.0009125886,0.0003493175,0.00004544374,0.00007141229,0.01285985,0.001100079],"study_design_scores_gemma":[0.0008159284,0.001144623,0.7075895,0.000004754784,0.000009951127,0.00005408631,0.001208687,0.005991691,0.00009121389,0.0004256811,0.2824785,0.0001854031],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909524,0.00002706422,0.000007273935,0.0002596871,0.000324051,0.0001791152,0.00006819385,0.00001195131,0.008170248],"genre_scores_gemma":[0.9992897,0.00009102574,0.00004202951,0.0001492315,0.00003933567,0.00005256378,0.0001004603,0.000005341347,0.0002303094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4200852,"threshold_uncertainty_score":0.5892254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01237138410942365,"score_gpt":0.2215701763573188,"score_spread":0.2091987922478952,"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."}}