{"id":"W2609765373","doi":"10.3389/fpls.2017.00598","title":"Contrasting Hydraulic Architectures of Scots Pine and Sessile Oak at Their Southernmost Distribution Limits","year":2017,"lang":"en","type":"article","venue":"Frontiers in Plant Science","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"International Graduate School of Science and Engineering; European Research Council; European Commission; Deutsche Forschungsgemeinschaft; Comunidad de Madrid","keywords":"Scots pine; Xylem; Temperate climate; Quercus petraea; Interspecific competition; Mediterranean climate; Intraspecific competition; Biology; Hydraulic conductivity; Mediterranean Basin; Growing season; Ecology; Botany; Environmental science; Soil water; Pinus <genus>","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":[0.0001864183,0.0001821086,0.0002024606,0.000738816,0.0002082523,0.0003214889,0.0001616304,0.0001163355,0.0003542929],"category_scores_gemma":[0.0002413508,0.0001383136,0.0001212288,0.0002698236,0.0002786395,0.0002419891,0.0002992852,0.0001441202,0.00009454678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001645814,"about_ca_system_score_gemma":0.0001337847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005706259,"about_ca_topic_score_gemma":0.01251705,"domain_scores_codex":[0.9999005,0.00001199638,0.000006185942,0.00004182212,0.00001808372,0.00002134017],"domain_scores_gemma":[0.9997616,0.00002809697,0.00006525369,0.00001312873,0.00006201364,0.00006979732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004263146,0.0000930438,0.7469853,0.00006779094,0.0001182811,0.0004544771,0.001673274,0.0007896641,0.2383051,0.0002306914,0.0001322321,0.01072389],"study_design_scores_gemma":[0.000001693517,0.00002748378,0.9990113,0.000002000086,0.000005058912,0.00009454524,0.0001740423,0.0002265139,0.0003358946,0.00003122014,0.00008711037,0.00000321587],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996347,0.00004744414,0.00006705573,0.000001713153,5.205941e-7,0.000001318162,0.00003625958,0.000003325515,0.0002076968],"genre_scores_gemma":[0.9997085,0.00001790391,0.00005799115,0.000004678775,0.000001078741,0.000002052475,0.0001030944,0.000001652148,0.0001030199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005706259,"threshold_uncertainty_score":0.0113461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007276130699163277,"score_gpt":0.1974996516671961,"score_spread":0.1902235209680328,"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."}}