{"id":"W2069957947","doi":"10.3791/51877","title":"Measuring Fluxes of Mineral Nutrients and Toxicants in Plants with Radioactive Tracers","year":2014,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"Plant nutrient uptake and metabolism","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nutrient; Toxicant; Environmental chemistry; Flux (metallurgy); Hordeum vulgare; Chemistry; Potassium; Botany; Environmental science; Biology; Ecology; Poaceae; Toxicity","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":[0.0003028956,0.0001221123,0.0003774436,0.00005366177,0.00003535527,0.00001806476,0.0001313314,0.00005283255,0.0000195437],"category_scores_gemma":[0.00003048988,0.00004663976,0.00005188633,0.0001179752,0.00004650079,0.0002050151,0.00002013924,0.00009480579,6.737011e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001923006,"about_ca_system_score_gemma":0.000008914805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003672644,"about_ca_topic_score_gemma":0.0000139867,"domain_scores_codex":[0.9989136,0.0001123881,0.0003611942,0.0001260444,0.0002961082,0.0001906731],"domain_scores_gemma":[0.9993843,0.00009092614,0.0003347838,0.00002747552,0.00004240805,0.0001200998],"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":[0.001353188,0.0004433044,0.03055763,0.000005446494,0.00005764777,0.00001374259,0.000916168,0.000002896147,0.9414289,0.00007518572,0.00006474502,0.02508117],"study_design_scores_gemma":[0.006675988,0.001793168,0.265823,0.0004357114,0.00003917595,0.00014675,0.00220787,0.0001068472,0.7093393,0.0001313253,0.01298359,0.0003173032],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982642,0.00123209,0.00001038901,0.00003799704,0.0001035089,0.0000961237,0.000009469946,0.000003523607,0.000242717],"genre_scores_gemma":[0.9990709,0.0004389873,0.0003185461,0.00003831692,0.00008794668,0.000001780043,0.000003251336,0.000001189844,0.00003909144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2352654,"threshold_uncertainty_score":0.1901914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03723562918065296,"score_gpt":0.3096482028396708,"score_spread":0.2724125736590178,"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."}}