{"id":"W4389426123","doi":"10.1002/jpln.202300034","title":"Nutritional response of sugar maple seedlings to water stress under highly nitrogen‐enriched soil conditions","year":2023,"lang":"en","type":"article","venue":"Journal of Plant Nutrition and Soil Science","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ouranos; Environment and Climate Change Canada; Université de Montréal; Institut de recherche Robert-Sauvé en santé et en sécurité du travail; Université du Québec en Outaouais","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Maple; Sugar; Soil water; Aceraceae; Nitrogen; Water content; Biomass (ecology); Moisture; Agronomy; Chemistry; Horticulture; Botany; Environmental science; Biology; Soil science","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":[0.00007167575,0.0002852559,0.000212577,0.0001621644,0.0001875923,0.0002233691,0.0001901981,0.0001789338,0.0008965458],"category_scores_gemma":[0.0001048852,0.0001222233,0.00009459459,0.00008780877,0.0001489214,0.0001676707,0.000185938,0.0003909559,0.00009954542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003532485,"about_ca_system_score_gemma":0.0002343306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004699396,"about_ca_topic_score_gemma":0.008355023,"domain_scores_codex":[0.9999616,0.000005233276,0.000002347722,0.00001243537,0.000008064975,0.00001026544],"domain_scores_gemma":[0.9997851,0.0000500646,0.00003862521,0.00001091749,0.00002778442,0.0000874896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002356521,0.00002699773,0.003179096,0.00002774459,0.000009755481,0.00004508777,0.00005250207,0.00006369258,0.9957218,0.0000153469,0.00001880884,0.0006035257],"study_design_scores_gemma":[0.00005282024,0.001400267,0.682961,0.00001511622,0.00005177578,0.0001644691,0.0006042063,0.002279884,0.3111762,0.0001056258,0.001158744,0.00002983527],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996526,0.00006206652,0.00006470449,0.000006793462,0.00000180844,0.000003148942,0.00006426062,0.000008962728,0.0001357567],"genre_scores_gemma":[0.9988195,0.0000607974,0.0001797295,0.00003056456,0.000001661995,0.00001607619,0.0002750799,0.000007556303,0.0006089288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004699396,"threshold_uncertainty_score":0.009344101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01060634136154627,"score_gpt":0.2286522885623427,"score_spread":0.2180459472007965,"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."}}