{"id":"W2133309522","doi":"10.1007/s11273-012-9280-4","title":"Comparing survey methods for monitoring vegetation change through time in a restored peatland","year":2013,"lang":"en","type":"article","venue":"Wetlands Ecology and Management","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":56,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Peat; Sphagnum; Environmental science; Vegetation (pathology); Ericaceae; Abundance (ecology); Quadrat; Ecology; Moss; Sampling (signal processing); Range (aeronautics); Plant community; Physical geography; Forestry; Geography; Biology; Ecological succession; Computer science; Shrub","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008435071,0.0001565345,0.0002881578,0.00007505306,0.0001390595,0.00003120376,0.0001395665,0.000109404,0.0001544869],"category_scores_gemma":[0.00003037726,0.000140952,0.00002975876,0.0001381727,0.00007569988,0.000239402,0.0002190872,0.00008521689,0.00007246577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008871539,"about_ca_system_score_gemma":0.000002126326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009578742,"about_ca_topic_score_gemma":0.004117277,"domain_scores_codex":[0.9986949,0.000215459,0.0002417168,0.000386458,0.00006135515,0.0004000993],"domain_scores_gemma":[0.9994562,0.0002415006,0.00007816461,0.0001540854,0.000009100993,0.00006092189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004207984,0.00005825203,0.9899207,0.00003451711,0.00002709367,0.000004227349,0.000375849,0.00006234131,0.0001096139,0.0001061384,0.0008961115,0.008363084],"study_design_scores_gemma":[0.001368342,0.0001281093,0.9871188,0.00001413634,0.00002075053,0.000003315266,0.00003296639,0.005810213,0.00002505654,0.001499,0.003813635,0.0001656588],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870281,0.00009035486,0.002601891,0.0004083547,0.0002828568,0.001297665,0.000001662072,0.00003894611,0.008250132],"genre_scores_gemma":[0.9841861,0.000291631,0.01342609,0.000189672,0.00005882686,0.001003887,0.00006088042,0.00001331655,0.0007695533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0108242,"threshold_uncertainty_score":0.5747855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05266357169349842,"score_gpt":0.3141812020495893,"score_spread":0.2615176303560909,"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."}}