{"id":"W2073330744","doi":"10.1007/s11273-014-9366-2","title":"Assessing wetland mitigation efforts using standing vegetation and seed bank community structure in neighboring natural and compensatory wetlands in north-central Texas","year":2014,"lang":"en","type":"article","venue":"Wetlands Ecology and Management","topic":"Coastal wetland ecosystem dynamics","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University","funders":"University of North Texas","keywords":"Wetland; Species richness; Vegetation (pathology); Plant community; Soil seed bank; Ecology; Environmental science; Species diversity; Floodplain; Hydrology (agriculture); Germination; Agronomy; Biology; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005201832,0.0001897987,0.0001372721,0.0004404404,0.0006987732,0.0004539761,0.0004308907,0.0002279655,0.0004112447],"category_scores_gemma":[0.001191388,0.0001491586,0.0001692294,0.0004999852,0.000432428,0.0004167981,0.0005564155,0.0001962676,0.00004737679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001362059,"about_ca_system_score_gemma":0.001288052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1218662,"about_ca_topic_score_gemma":0.35498,"domain_scores_codex":[0.9997842,0.00006899433,0.00001287389,0.00005635129,0.00002289435,0.00005475371],"domain_scores_gemma":[0.9990594,0.000206738,0.000312406,0.00005337541,0.0001421807,0.0002259084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000801253,0.0001123548,0.9954464,0.000004716794,0.00002886775,0.00005955179,0.0005186196,0.0007105359,0.0006136628,0.00005003289,0.00006324835,0.002311864],"study_design_scores_gemma":[0.000004470068,0.00006620077,0.9956537,0.000004014481,0.0000141486,0.00002355364,0.002003526,0.001975564,0.0001391657,0.00002282631,0.00009062218,0.000002168078],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999903,0.000003484107,0.00001947258,0.000005832584,2.601146e-7,0.000001526698,0.00001542713,4.389461e-7,0.00005057224],"genre_scores_gemma":[0.9997593,0.000008301105,0.00009127789,0.00000421705,6.120783e-7,0.000003976817,0.00004749845,2.910166e-7,0.00008465067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1218662,"threshold_uncertainty_score":0.2423137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007679291941376355,"score_gpt":0.2220741102482733,"score_spread":0.2143948183068969,"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."}}