{"id":"W6960978567","doi":"10.14288/1.0423139","title":"X-ray fluorescence microimaging of single leaf and root subsamples from quillay (Quillaja saponaria Molina) and espino (Vachellia caven (Molina) Seigler & Ebinger), grown with (100 μM) and without (0 μM) added Cu","year":2023,"lang":"en","type":"dataset","venue":"Open Collections","topic":"Leaf Properties and Growth Measurement","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fluorescence; Fluorometer; Fluorescence spectroscopy; Fluorescence spectrometry; Synchrotron","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0003367751,0.0004785664,0.0007223454,0.00005546769,0.001687959,0.001222172,0.0005134229,0.0002535045,0.0002092069],"category_scores_gemma":[0.0001211507,0.000225335,0.00006797,0.0007673879,0.000321172,0.0002269221,0.0006719987,0.0003429476,0.0000164593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008932682,"about_ca_system_score_gemma":0.0000871924,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1194714,"about_ca_topic_score_gemma":0.1213415,"domain_scores_codex":[0.9975476,0.0002043323,0.0004215737,0.0009792655,0.0003771638,0.000470046],"domain_scores_gemma":[0.9987531,0.0002388038,0.0003143115,0.0002589507,0.000212019,0.0002228441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003044595,0.0001680616,0.002830504,0.0000915633,0.0002004265,0.000007905457,0.0002028356,0.00000595542,0.04039361,0.000001499332,0.9544751,0.001318096],"study_design_scores_gemma":[0.001242193,0.001049077,0.03396581,0.000982446,0.0004408028,0.00006174649,0.001042028,0.00005273076,0.001227824,0.000164182,0.9585844,0.001186752],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.2813743,0.00342154,0.000008560133,0.002493412,0.0004623294,0.002562399,0.7089612,0.0001046027,0.0006116371],"genre_scores_gemma":[0.1838419,0.008224449,0.006425956,0.0009224921,0.002121432,0.001024008,0.7327854,0.0001118142,0.06454253],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09753239,"threshold_uncertainty_score":0.9998146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05639962573482505,"score_gpt":0.2469710579409858,"score_spread":0.1905714322061607,"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."}}