{"id":"W2937643133","doi":"10.1029/2018jg004647","title":"Tracking Open Versus Closed‐Canopy Boreal Forest Using the Geochemistry of Lake Sediment Deposits","year":2019,"lang":"en","type":"article","venue":"Journal of Geophysical Research Biogeosciences","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue; Université du Québec à Montréal; Natural Resources Canada; Canadian Forest Service; Natural Sciences and Engineering Research Council of Canada","funders":"FP7 People: Marie-Curie Actions; Institut écologie et environnement; Natural Sciences and Engineering Research Council of Canada; AgroParisTech; Centre National de la Recherche Scientifique; Université de Montpellier; Institut Universitaire de France; Ministère des Forêts, de la Faune et des Parcs","keywords":"Ecosystem; Vegetation (pathology); Moss; Environmental science; Taiga; Sediment; Geology; Boreal; Soil water; Terrestrial ecosystem; Sphagnum; Canopy; Woodland; Forest ecology; Hydrology (agriculture); Physical geography; Ecology; Peat; Soil science; Geomorphology; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002271274,0.000186569,0.0001411571,0.0007536792,0.0002742721,0.0005873509,0.0001978702,0.0001820858,0.000446984],"category_scores_gemma":[0.0003002781,0.0001161851,0.0001175216,0.0005773638,0.0001709068,0.0003616583,0.0002900737,0.0001133037,0.00009773283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000285139,"about_ca_system_score_gemma":0.0001660581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01112896,"about_ca_topic_score_gemma":0.02966593,"domain_scores_codex":[0.9999332,0.000009097772,0.000004669218,0.00002459159,0.00001234613,0.00001602114],"domain_scores_gemma":[0.9997754,0.00002634962,0.00008497461,0.00001369284,0.000057345,0.00004228481],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007400422,0.00002109539,0.9768448,0.00001362558,0.0000401621,0.00003131648,0.0001268846,0.0004201867,0.01705362,0.00003167953,0.00005170853,0.005290943],"study_design_scores_gemma":[0.000001522021,0.00001263424,0.9978245,0.000001616966,0.000006951174,0.00001386223,0.00005038714,0.001181669,0.0008147758,0.000009820701,0.00008048725,0.000001662811],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992443,0.00004879908,0.0002466487,0.000004918686,8.717049e-7,0.0000030388,0.0002158382,0.00001477778,0.0002207759],"genre_scores_gemma":[0.9992403,0.00002328847,0.0004225339,0.000002805633,0.000001551953,0.000002996472,0.0002285753,0.000002518165,0.00007548373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01112896,"threshold_uncertainty_score":0.02212834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0829283804909753,"score_gpt":0.3617120290672314,"score_spread":0.2787836485762561,"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."}}