{"id":"W3175838217","doi":"10.1002/ecy.3454","title":"Quantifying the relationship linking the community‐weighted means of plant traits and soil fertility","year":2021,"lang":"en","type":"article","venue":"Ecology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Institut National de la Recherche Agronomique; Agence Nationale de la Recherche; Natural Sciences and Engineering Research Council of Canada; Centre Méditerranéen de l’Environnement et de la Biodiversité","keywords":"Cwm; Ruderal species; Specific leaf area; Trait; Soil fertility; Plant community; Ecology; Biomass (ecology); Fertility; Biology; Geography; Soil water; Demography; Botany; Ecological succession; Sociology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.001460266,0.0003066302,0.0003228579,0.001191889,0.0004402872,0.0005643844,0.0003674139,0.000335435,0.001029381],"category_scores_gemma":[0.003682482,0.0001785294,0.0002611281,0.001038132,0.0005026181,0.0003349552,0.0003877701,0.0002235536,0.00009153632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001503784,"about_ca_system_score_gemma":0.0007580424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2619842,"about_ca_topic_score_gemma":0.4446065,"domain_scores_codex":[0.9995124,0.0001893771,0.00001422537,0.00015282,0.000084447,0.0000467235],"domain_scores_gemma":[0.9978312,0.001104092,0.0003497239,0.000208309,0.0004067607,0.00009995577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005051191,0.00001817813,0.9775095,0.00002554464,0.0002920344,0.00002909571,0.0002332382,0.003624751,0.008859844,0.0001974574,0.0001084261,0.00905147],"study_design_scores_gemma":[0.000001745015,0.00001665809,0.9947073,0.000001799891,0.00001109972,0.00001340433,0.00008055814,0.004707002,0.0002683461,0.00008812927,0.0000976798,0.000006238919],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959562,0.00005257753,0.003308527,0.00001406203,8.118304e-7,0.000008245005,0.0002982594,0.00001827522,0.0003428629],"genre_scores_gemma":[0.9984736,0.00001253429,0.001176192,0.000007812365,8.40936e-7,0.000008579625,0.0002153601,0.000003495936,0.0001016088],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2619842,"threshold_uncertainty_score":0.5209186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0545165766318745,"score_gpt":0.2710258500552229,"score_spread":0.2165092734233484,"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."}}