{"id":"W4401529581","doi":"10.1139/cjb-2024-0041","title":"Do linear clearings in boreal peatlands recover? Comparing taxonomic, phylogenetic, and functional plant diversity","year":2024,"lang":"en","type":"article","venue":"Botany","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Forest Service; Saint Mary's University; Natural Resources Canada; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Natural Resources Limited; Cenovus Energy","keywords":"Biology; Peat; Boreal; Ecology; Phylogenetic tree; Phylogenetic diversity; Botany; Functional diversity; Taiga","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.0002721082,0.0001533761,0.0001317645,0.0003212757,0.0003140715,0.0003488617,0.0001651459,0.0001653876,0.0004583885],"category_scores_gemma":[0.0003942726,0.00005631021,0.00009747167,0.0001843984,0.0004200223,0.0003245166,0.0002143557,0.0001499267,0.00006680463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004237494,"about_ca_system_score_gemma":0.0002881781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02699305,"about_ca_topic_score_gemma":0.123278,"domain_scores_codex":[0.9998461,0.00002897666,0.000008110906,0.00003433612,0.00003026626,0.00005215858],"domain_scores_gemma":[0.999725,0.00002185705,0.0001005438,0.00001919638,0.00004750769,0.00008569354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002091962,0.0008620739,0.849647,0.0000897061,0.0001361372,0.0004081707,0.002763549,0.000413363,0.09101039,0.0001856557,0.0003244377,0.05206754],"study_design_scores_gemma":[0.000001632664,0.0001330471,0.9986134,0.000002559411,0.00000576141,0.0000280568,0.0005810899,0.00005661687,0.0003868519,0.00001369056,0.0001756245,0.000001781798],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997265,0.00004022384,0.00002296149,0.000005235509,0.000001155564,0.000002038819,0.00002766205,0.000001046025,0.0001731423],"genre_scores_gemma":[0.9996878,0.0000298184,0.00005505247,0.00001063705,0.000001356248,0.000002246067,0.00008613803,5.740684e-7,0.0001264009],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02699305,"threshold_uncertainty_score":0.05367184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02216194419256568,"score_gpt":0.2111797671165509,"score_spread":0.1890178229239852,"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."}}