{"id":"W4308061771","doi":"10.1002/ecy.3909","title":"Patterns and controls of foliar nutrient stoichiometry and flexibility across United States forests","year":2022,"lang":"en","type":"article","venue":"Ecology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Institute of Food and Agriculture; U.S. Geological Survey; National Science Foundation; Incyte; Battelle; Division of Environmental Biology; U.S. Department of Agriculture; U.S. Department of Energy","keywords":"Nutrient; Ecosystem; Ecology; Nutrient cycle; Ecological stoichiometry; Environmental science; Biology; Agronomy","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":[0.0002198519,0.00005252516,0.000106047,0.00003475413,0.0001208493,0.000005698755,0.00006248871,0.00002703275,0.000235489],"category_scores_gemma":[0.00001146632,0.00004912841,0.00001222566,0.0001256401,0.0001099557,0.00003253091,0.000311461,0.00007990142,0.000001817097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004976429,"about_ca_system_score_gemma":0.000002683877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003861541,"about_ca_topic_score_gemma":0.001637248,"domain_scores_codex":[0.9994375,0.0000694076,0.0001213907,0.0001508343,0.0000751239,0.0001458198],"domain_scores_gemma":[0.9997244,0.00008819322,0.00005367776,0.00009096543,0.000002929628,0.00003983455],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002508087,0.00005789367,0.989994,0.000004105529,0.000008656963,0.000004753495,0.0004814231,0.008524305,0.0001148811,0.0004190491,0.00002283343,0.0003429554],"study_design_scores_gemma":[0.0004913494,0.0001796745,0.9466239,6.772343e-7,0.000006460259,0.00001783665,0.0001757253,0.04588506,0.00003655576,0.004859062,0.001665849,0.00005788735],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989668,0.00002443274,0.0002905251,0.0001321562,0.00005162085,0.0001337002,0.0003333604,0.000008358465,0.00005911415],"genre_scores_gemma":[0.9996008,0.00002794536,0.00003762163,0.0001251928,0.000002347754,0.00001895317,0.00005392269,0.000003412133,0.0001297555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0433702,"threshold_uncertainty_score":0.2578439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007304529992798545,"score_gpt":0.2356345859029566,"score_spread":0.2283300559101581,"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."}}