{"id":"W2149479109","doi":"10.1093/aob/mcm205","title":"Inferring the Geometry of Fourth-Period Metallic Elements in Arabidopsis thaliana Seeds using Synchrotron-Based Multi-Angle X-ray Fluorescence Mapping","year":2007,"lang":"en","type":"article","venue":"Annals of Botany","topic":"X-ray Spectroscopy and Fluorescence Analysis","field":"Physics and Astronomy","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; Canadian Light Source (Canada); Agriculture and Agri-Food Canada","funders":"Argonne National Laboratory","keywords":"X-ray fluorescence; Biology; Distribution (mathematics); Synchrotron; Metal; Fluorescence; Synchrotron radiation; Constraint (computer-aided design); Biological system; Geometry; Materials science; Physics; Optics; Mathematics; Mathematical analysis","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":[0.00006382543,0.0001850272,0.0001325792,0.0004207228,0.0001585645,0.000312161,0.0003324756,0.0002779854,0.0006185333],"category_scores_gemma":[0.0002978443,0.000223612,0.0001506115,0.0002458233,0.0001474685,0.0002471563,0.0001669903,0.0002125973,0.0004068835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004664615,"about_ca_system_score_gemma":0.0001865551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003165898,"about_ca_topic_score_gemma":0.005186531,"domain_scores_codex":[0.999957,0.000003429701,0.000002271536,0.00002002421,0.00001059677,0.000006652301],"domain_scores_gemma":[0.9998674,0.00002319193,0.00004252249,0.00001380167,0.00003825767,0.00001473851],"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":[0.0001311283,0.000009393003,0.01701195,0.00005557875,0.00001027197,0.0001303549,0.00007413224,0.001928353,0.9736216,0.0001336614,0.00007400927,0.006819542],"study_design_scores_gemma":[0.00002752087,0.0001408259,0.2840092,0.00001976508,0.00003703585,0.001481056,0.0003891091,0.04016745,0.6705048,0.0007233078,0.002457768,0.00004223669],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9790806,0.0002204825,0.0195968,0.00002578393,0.000002697672,0.00001032852,0.0002758603,0.0001812161,0.0006062545],"genre_scores_gemma":[0.9744328,0.0001558572,0.02469192,0.00001176527,0.000001415027,0.00001327759,0.0003404325,0.00004586733,0.0003067939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003165898,"threshold_uncertainty_score":0.006294966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04756218028223047,"score_gpt":0.3192888830123363,"score_spread":0.2717267027301059,"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."}}