{"id":"W2955064711","doi":"10.3390/plants8070200","title":"The Investigation of Silicon Localization and Accumulation in Citrus","year":2019,"lang":"en","type":"article","venue":"Plants","topic":"Silicon Effects in Agriculture","field":"Agricultural and Biological Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"DST-NRF Centre Of Excellence In Tree Health Biotechnology; Centre for Research on Intermediality, University of Montreal; Citrus Research International; Inyuvesi Yakwazulu-Natali","keywords":"Cuticle (hair); Scanning electron microscope; Epidermis (zoology); Plant cuticle; Botany; Deposition (geology); Cell wall; Silicon; Electron microscope; Microscopy; Citrus × sinensis; Biology; Environmental scanning electron microscope; Biophysics; Chemistry; Horticulture; Materials science; Orange (colour); Anatomy; Biochemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001088815,0.0002663857,0.000207213,0.0004103733,0.0002127812,0.000219363,0.0001429645,0.0002663915,0.0004042097],"category_scores_gemma":[0.00007276276,0.0001543863,0.0001564207,0.0001813539,0.0002082634,0.0002565088,0.0001681309,0.0002168079,0.0001160549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002925193,"about_ca_system_score_gemma":0.0001434276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001898436,"about_ca_topic_score_gemma":0.002906059,"domain_scores_codex":[0.9999449,0.000005261412,0.000004176792,0.00002737404,0.00001043361,0.000007725282],"domain_scores_gemma":[0.999931,0.00001899723,0.00001418065,0.000004934027,0.00001794448,0.00001295845],"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":[0.00003459379,0.000003650912,0.0005119874,0.00006583852,0.000002942865,0.00003193684,0.00004311381,0.00003455567,0.9983543,0.00001902438,0.000005011007,0.0008930743],"study_design_scores_gemma":[0.000008980815,0.0004995374,0.1084533,0.00002928484,0.00003321566,0.0003158574,0.000294586,0.0009940116,0.8855747,0.00009111449,0.003685011,0.00002035282],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953684,0.002489689,0.0007061079,0.00002423924,0.000005626204,0.00001057863,0.0001210367,0.00001611904,0.001258381],"genre_scores_gemma":[0.9946803,0.001107585,0.00148544,0.00003899613,0.000004477408,0.00001776402,0.0001729775,0.00001292888,0.002479379],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001898436,"threshold_uncertainty_score":0.003774703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01797742970137372,"score_gpt":0.2227558401711193,"score_spread":0.2047784104697455,"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."}}