{"id":"W2017879265","doi":"10.1007/s11104-014-2211-9","title":"Organic matter stocks increase with degree of invasion in temperate inland wetlands","year":2014,"lang":"en","type":"article","venue":"Plant and Soil","topic":"Coastal wetland ecosystem dynamics","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Tanzania Commission for Science and Technology; McGill University; Society of Wetland Scientists; Michigan State University","keywords":"Phragmites; Phalaris arundinacea; Ecosystem; Agronomy; Wetland; Mineralization (soil science); Environmental science; Temperate climate; Organic matter; Nitrogen cycle; Biomass (ecology); Biology; Ecology; Soil water; Nitrogen; Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001602856,0.0001516486,0.0001952552,0.0005638492,0.0003267204,0.0005475197,0.0001610258,0.0002522906,0.0008266179],"category_scores_gemma":[0.000673705,0.0001888941,0.0001819833,0.0003735979,0.000505079,0.0004289379,0.0004954427,0.0002065093,0.0001282578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003114244,"about_ca_system_score_gemma":0.0002363784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006479006,"about_ca_topic_score_gemma":0.02084015,"domain_scores_codex":[0.9999242,0.000009287429,0.000007852457,0.00002408824,0.00001142661,0.00002311984],"domain_scores_gemma":[0.9992976,0.0001235385,0.0003166069,0.00004294225,0.00007044218,0.0001488622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003196192,0.00004559059,0.9535467,0.00002227014,0.00006287345,0.000126588,0.0005838816,0.0002453928,0.0423785,0.0001104794,0.00005023419,0.002507833],"study_design_scores_gemma":[7.584974e-7,0.000009269234,0.9996017,5.047712e-7,0.000003005809,0.00001851023,0.00008110907,0.00009349184,0.0001469482,0.00001542047,0.00002846376,8.218091e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997385,0.00001837218,0.00003499923,0.000006363915,4.387291e-7,4.907661e-7,0.00001588595,0.000001896926,0.0001829364],"genre_scores_gemma":[0.9997907,0.0000182546,0.00003522303,0.000004506682,0.000001606781,9.164501e-7,0.00002968983,9.390335e-7,0.0001181253],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006479006,"threshold_uncertainty_score":0.01288259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006417495196767379,"score_gpt":0.1634638869166246,"score_spread":0.1570463917198572,"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."}}