{"id":"W2161784325","doi":"10.1093/jxb/erq380","title":"Permeability of Iris germanica’s multiseriate exodermis to water, NaCl, and ethanol","year":2010,"lang":"en","type":"article","venue":"Journal of Experimental Botany","topic":"Plant responses to water stress","field":"Agricultural and Biological Sciences","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Rheinische Friedrich-Wilhelms-Universität Bonn; University of Waterloo; Government of Ontario","keywords":"Endodermis; Suberin; Hydraulic conductivity; Botany; Biophysics; Permeability (electromagnetism); Chemistry; Xylem; Biology; Cell wall; Soil water; Ecology; Biochemistry; Membrane","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002552401,0.0001280087,0.0002584091,0.00001796192,0.0000710942,0.00004063854,0.0002655338,0.0000807402,0.0003980272],"category_scores_gemma":[0.00003336469,0.00004430343,0.0001005254,0.0000532118,0.00008223026,0.0001684419,0.0001474955,0.0001719425,0.000008323933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001902932,"about_ca_system_score_gemma":0.000005422892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001120358,"about_ca_topic_score_gemma":0.0001033148,"domain_scores_codex":[0.9989569,0.00006777049,0.0003798949,0.0001568186,0.0002304717,0.0002081724],"domain_scores_gemma":[0.999442,0.00007802121,0.0001412089,0.00006343266,0.00007035832,0.0002049153],"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":[0.0003079765,0.000155421,0.001286551,0.000001810229,0.00001305163,0.00002338566,0.0004996338,1.199589e-7,0.9914035,0.000003701433,0.00008467359,0.006220204],"study_design_scores_gemma":[0.0002362781,0.0004982863,0.06831601,0.00001694989,0.000006737668,0.0002533432,0.0002336511,0.000007439019,0.926411,0.00001625631,0.003898391,0.0001056029],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985718,0.000275524,5.6183e-7,0.0006348381,0.0002465126,0.0001121497,0.00003137815,0.000008527426,0.0001187213],"genre_scores_gemma":[0.9992693,0.00002450314,0.0004063873,0.00008292431,0.00012559,0.00000226025,0.000001484534,0.000001230679,0.00008632232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06702946,"threshold_uncertainty_score":0.4358118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0147472911622701,"score_gpt":0.2524783352714343,"score_spread":0.2377310441091642,"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."}}