{"id":"W4413140473","doi":"10.1073/pnas.2501585122","title":"Embolism resistance supports the contribution of dry-season precipitation to transpiration in eastern Amazon forests","year":2025,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Environmental and biological studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; Trent University; University of British Columbia, Okanagan Campus","funders":"Natural Sciences and Engineering Research Council of Canada; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Estado de São Paulo; Instituto Serrapilheira; National Science Foundation","keywords":"Amazon rainforest; Transpiration; Dry season; Environmental science; Resistance (ecology); Precipitation; Forestry; Agroforestry; Hydrology (agriculture); Agronomy; Geography; Ecology; Geology; Biology; Botany; Meteorology; Geotechnical engineering","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":[0.0003422199,0.0001356164,0.0001947611,0.0003917126,0.0002949298,0.0006130408,0.0002601304,0.0001864087,0.0009932985],"category_scores_gemma":[0.001508827,0.0001714343,0.0001451101,0.0002549102,0.0004424652,0.0005273801,0.0004906228,0.0002206615,0.00008637963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000252198,"about_ca_system_score_gemma":0.0001673688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008015455,"about_ca_topic_score_gemma":0.009483831,"domain_scores_codex":[0.9998771,0.00002302225,0.00001005741,0.00004617882,0.00001938429,0.00002418901],"domain_scores_gemma":[0.9991477,0.0003231476,0.0002823273,0.00005623191,0.00008764862,0.0001029488],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000253096,0.00005624894,0.9112745,0.00007026004,0.00007487793,0.0001550116,0.0008828408,0.001395634,0.07804953,0.0006194497,0.00006699282,0.007101562],"study_design_scores_gemma":[0.000004768023,0.00001551849,0.9949569,0.000004219065,0.00001348004,0.00005232963,0.0001682469,0.003629707,0.0008204977,0.0002505115,0.00007976758,0.000003933145],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993113,0.000040611,0.0003045604,0.00001565389,3.207381e-7,0.000001588263,0.0000358795,0.000005773404,0.0002842052],"genre_scores_gemma":[0.999866,0.00001174786,0.00005998505,0.000003839085,6.509384e-7,8.343641e-7,0.00002955944,0.000002103613,0.0000253485],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008015455,"threshold_uncertainty_score":0.01593763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01870704509139642,"score_gpt":0.2746609042642115,"score_spread":0.255953859172815,"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."}}