{"id":"W4386573528","doi":"10.1007/s13157-023-01729-9","title":"Vegetation Structure and Composition in Small Forested Wetlands and Their Associations With Water Table Dynamics","year":2023,"lang":"en","type":"article","venue":"Wetlands","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Wetland; Vegetation (pathology); Environmental science; Ecology; Hydrology (agriculture); Abundance (ecology); Shrub; 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":[0.0001465324,0.0001289978,0.0001639969,0.00008343107,0.0001447141,0.00004696936,0.00005949167,0.0001030999,0.00004567424],"category_scores_gemma":[0.000005212118,0.00008038941,0.00001120538,0.0002377508,0.00006840062,0.0001255181,0.00008205145,0.0001137447,0.00000981518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007742941,"about_ca_system_score_gemma":0.00000437672,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000206521,"about_ca_topic_score_gemma":0.03235499,"domain_scores_codex":[0.9992331,0.00003753675,0.0001352313,0.0002410342,0.00007155954,0.0002815064],"domain_scores_gemma":[0.9997458,0.00005200199,0.00003996861,0.00009385685,0.000007233403,0.00006108548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002384927,0.00001442963,0.9946422,0.000009000284,0.00001017457,0.000007513908,0.0006850575,0.0008681631,0.002553853,0.00009634835,0.00006502649,0.00102439],"study_design_scores_gemma":[0.0009407221,0.0001102092,0.9394997,0.00001015711,0.00001001865,0.00001867251,0.00007726083,0.05716526,0.0004086516,0.001495075,0.0001289465,0.0001353556],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997921,0.000006622779,0.0001770028,0.0004455579,0.0000356547,0.0001456392,0.00004128934,0.00004889576,0.001178336],"genre_scores_gemma":[0.998486,0.00002628045,0.00009303187,0.00008064921,0.00002125999,0.00001583848,0.001095431,0.00001225786,0.0001692583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0562971,"threshold_uncertainty_score":0.985302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006351788024223053,"score_gpt":0.1933451819321602,"score_spread":0.1869933939079371,"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."}}