{"id":"W2944744627","doi":"10.1139/cjfas-2018-0419","title":"Drivers of ecosystem metabolism in restored and natural prairie wetlands","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Institute for Wetland and Waterfowl Research, Ducks Unlimited Canada; Killam Trusts","keywords":"Wetland; Ecosystem; Primary production; Abiotic component; Ecology; Aquatic ecosystem; Environmental science; Ecosystem respiration; Marsh; Dominance (genetics); Biotic component; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.000339611,0.0001113792,0.000167632,0.0004852858,0.0002145798,0.0003668574,0.0001719805,0.0001359504,0.0002218507],"category_scores_gemma":[0.0006515016,0.0001662075,0.0001755285,0.0003305555,0.0003339712,0.0003444724,0.0003979199,0.0001737959,0.00002324006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005808198,"about_ca_system_score_gemma":0.0002757609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0149461,"about_ca_topic_score_gemma":0.04040004,"domain_scores_codex":[0.9998931,0.00002172656,0.000008848002,0.00004002748,0.00001751164,0.00001884651],"domain_scores_gemma":[0.9997012,0.00006805793,0.0001224355,0.00002267119,0.00004016938,0.00004544839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000184836,0.00004942445,0.9624755,0.00002003232,0.00007286384,0.00009847811,0.0007099166,0.00158392,0.02844922,0.0003252117,0.00004045004,0.005990116],"study_design_scores_gemma":[9.968212e-7,0.00001432495,0.998456,8.640881e-7,0.000004720923,0.00002131491,0.0001004448,0.001121158,0.0001812279,0.00004961379,0.00004639294,0.000002799354],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998429,0.00001785247,0.0000563896,0.000005006632,1.716456e-7,0.00000122118,0.00002499082,0.000001217241,0.00005027937],"genre_scores_gemma":[0.9997892,0.00001403432,0.0001086053,0.000001940616,4.127667e-7,0.00000165946,0.00004531268,8.725105e-7,0.00003814597],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0149461,"threshold_uncertainty_score":0.02971822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006682890047823547,"score_gpt":0.1948078834653335,"score_spread":0.18812499341751,"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."}}