{"id":"W2269393798","doi":"10.1073/pnas.1512650113","title":"Do geographically isolated wetlands influence landscape functions?","year":2016,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Coastal wetland ecosystem dynamics","field":"Environmental Science","cited_by":458,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Western University","funders":"Global Institute for Water Security, University of Saskatchewan","keywords":"Wetland; Biogeochemical cycle; Threatened species; Biological dispersal; Environmental science; Habitat; Ecology; Biodiversity; Landscape connectivity; Hydrology (agriculture); Geology; Biology; Population","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":[0.0009358597,0.00009099727,0.0001167302,0.00009703025,0.0001899115,0.00002325205,0.0007525266,0.00007575132,0.0002343332],"category_scores_gemma":[0.0002863645,0.00004625397,0.0000701696,0.001009614,0.0007275305,0.0005921748,0.0003289851,0.00008518448,0.00002901857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003521827,"about_ca_system_score_gemma":0.000008053638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001441171,"about_ca_topic_score_gemma":0.000001730906,"domain_scores_codex":[0.9982522,0.000005556472,0.0002981457,0.0002619678,0.001002619,0.0001795243],"domain_scores_gemma":[0.9994702,0.0001040847,0.0002969336,0.00001170168,0.0000683035,0.00004875809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001901354,0.00002758701,0.8304746,0.00001210574,0.000007394369,4.434587e-9,0.0000336175,0.0002310374,0.1652249,0.002280632,0.0006996915,0.0009893893],"study_design_scores_gemma":[0.0002377352,0.00007431806,0.9743606,0.0001048062,0.000009132507,0.00001498884,0.00004676102,0.002023371,0.003809075,0.01851901,0.0006823,0.0001178886],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9852446,0.00001132271,0.000009106739,0.002034556,0.00001743625,0.0001114252,0.00001927375,0.0000168227,0.01253545],"genre_scores_gemma":[0.9992715,0.00001977569,0.0002046211,0.00009988084,0.00002099228,0.000007135619,6.414999e-8,0.000003324887,0.0003727012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1614159,"threshold_uncertainty_score":0.2680616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01145542298072741,"score_gpt":0.2358946124718052,"score_spread":0.2244391894910778,"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."}}