{"id":"W2039793470","doi":"10.1111/j.1469-8137.2007.01970.x","title":"Interactive effects of ozone and climate on water use, soil moisture content and streamflow in a southern Appalachian forest in the USA","year":2007,"lang":"en","type":"article","venue":"New Phytologist","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":107,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Oak Ridge National Laboratory; National Park Service; U.S. Forest Service; UT-Battelle; Auburn University; Battelle; U.S. Department of Energy","keywords":"Streamflow; Environmental science; Canopy; Transpiration; Water content; Canopy conductance; Hydrology (agriculture); Stomatal conductance; Climate change; Tree canopy; Ozone; Atmospheric sciences; Vapour Pressure Deficit; Ecology; Drainage basin; Geography; Biology; Geology; Meteorology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001721198,0.0001481232,0.0001929437,0.0002968563,0.00047415,0.0004233596,0.0001611543,0.0001645776,0.0004289326],"category_scores_gemma":[0.0002608133,0.0001189749,0.0001515853,0.0004318653,0.0002255892,0.0001312208,0.0002731182,0.0002078827,0.00004431736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006292183,"about_ca_system_score_gemma":0.0005485869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2351141,"about_ca_topic_score_gemma":0.4718041,"domain_scores_codex":[0.999908,0.00003242135,0.000004473803,0.00001687103,0.00001174239,0.00002640633],"domain_scores_gemma":[0.9998202,0.0000586589,0.00002999445,0.00000713765,0.00003263384,0.0000513072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001485755,0.000117364,0.993301,0.000009743455,0.00008629519,0.0003945753,0.0003977099,0.00034386,0.002100156,0.00002374899,0.0002374733,0.002839289],"study_design_scores_gemma":[0.000003763889,0.00001731701,0.9991108,0.000001505282,0.00001549831,0.00003182222,0.0002446452,0.0004380092,0.00004906306,0.000008418117,0.00007710513,0.000002136095],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998366,0.00001441422,0.000009580453,0.0000164156,8.348808e-7,0.000001162214,0.00005185727,0.000001266726,0.00006791113],"genre_scores_gemma":[0.9997172,0.0000307306,0.0000308232,0.00001642189,0.000001738069,0.000003624602,0.0001369418,5.202479e-7,0.00006192944],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2351141,"threshold_uncertainty_score":0.4674911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01238378574022486,"score_gpt":0.2181419429858895,"score_spread":0.2057581572456646,"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."}}