{"id":"W2793965139","doi":"10.3389/fevo.2020.00144","title":"Anthropogenic, Direct Pressures on Coastal Wetlands","year":2020,"lang":"en","type":"article","venue":"Frontiers in Ecology and Evolution","topic":"Coastal wetland ecosystem dynamics","field":"Environmental Science","cited_by":312,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bedford Institute of Oceanography; Natural Resources Canada","funders":"Natural Resources Canada; Fundação para a Ciência e a Tecnologia; State Key Laboratory of Estuarine and Coastal Research; European Commission; East China Normal University; Chinese Academy of Sciences","keywords":"Wetland; Environmental science; Ecology; Oceanography; Geography; Environmental resource management; Geology; Biology","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":[0.0001150071,0.00009795004,0.0001648775,0.00003253519,0.000101093,0.000007932148,0.000084091,0.0001056713,0.0001132378],"category_scores_gemma":[0.000045452,0.00009360564,0.00002440296,0.0001210433,0.0001411,0.0001016065,0.000121179,0.0001179954,0.00007050981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009426675,"about_ca_system_score_gemma":0.00000640774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001237215,"about_ca_topic_score_gemma":0.004664917,"domain_scores_codex":[0.9992165,0.00006845005,0.0001356187,0.0002741735,0.00008460101,0.0002206502],"domain_scores_gemma":[0.9997731,0.00002352,0.00004100299,0.00007932369,0.000002165771,0.00008088556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001299952,0.00003300441,0.9849184,0.000008268963,0.000008713942,0.000008508552,0.0001437876,0.002870526,0.000074233,0.00003441092,0.01068026,0.001089927],"study_design_scores_gemma":[0.0004083832,0.000221228,0.9393903,0.000004582501,0.000009004692,0.000004255649,0.0001354474,0.05613326,0.00001823458,0.0002990448,0.003268367,0.0001078979],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896193,0.00006270307,0.001383587,0.0006748055,0.0005913528,0.0001699796,0.00002275431,0.00003863718,0.007436869],"genre_scores_gemma":[0.9991577,0.00005883624,0.0003799988,0.0001598909,0.000041351,0.00001043124,0.00001284131,0.000007159921,0.000171793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05326273,"threshold_uncertainty_score":0.3817127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004802833209710804,"score_gpt":0.1893827661514568,"score_spread":0.184579932941746,"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."}}