{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007085712,0.00005140805,0.00009590704,0.000008501655,0.0009044141,0.000005906071,0.0001252935,0.00006253354,0.0001500193],"category_scores_gemma":[0.0003068969,0.00003172616,0.00002225172,0.0001052849,0.000482354,0.00003578102,0.0001934439,0.0002988207,0.00001805683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002255871,"about_ca_system_score_gemma":0.00001154119,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005777515,"about_ca_topic_score_gemma":0.05353088,"domain_scores_codex":[0.9989748,0.0006241017,0.0001509925,0.00008829012,0.00005024711,0.000111558],"domain_scores_gemma":[0.9972926,0.002498386,0.00006858776,0.0001174556,0.00001033835,0.00001258577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006727867,0.00003821757,0.9896119,0.000007228535,0.00001949009,0.00000154965,0.004613503,0.0003172636,0.0003297948,0.004796541,0.00006157938,0.0001962542],"study_design_scores_gemma":[0.0001112658,0.00001856575,0.9870197,0.000003602261,0.00001675873,0.000009368912,0.001149324,0.00270684,0.00007822066,0.008738861,0.000114174,0.00003328644],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940236,0.00008843194,0.0001059029,0.002837956,0.00007089331,0.00007417013,0.000005952685,0.000008578501,0.00278458],"genre_scores_gemma":[0.9992725,0.00002188949,0.0001563582,0.0003939687,0.000004982957,0.00001021689,0.000006810913,0.00000262075,0.0001307057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0534731,"threshold_uncertainty_score":0.9637397,"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."}}