{"id":"W2963498855","doi":"10.1101/710160","title":"PIN FORMED 2 facilitates the transport of Arsenite in <i>Arabidopsis thaliana</i>","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"SLAC National Accelerator Laboratory; U.S. Department of Energy; Argonne National Laboratory; Natural Sciences and Engineering Research Council of Canada; Basic Energy Sciences; National Institute of General Medical Sciences; Biological and Environmental Research; Office of Science; National Institutes of Health; Canada Research Chairs; Saskatchewan Health Research Foundation; University of Saskatchewan","keywords":"Arsenite; Arsenic; Arabidopsis thaliana; Chemistry; Arsenate; Efflux; Biophysics; Biochemistry; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007754314,0.0003831274,0.0002093956,0.0001741062,0.000199535,0.0003096546,0.0002515628,0.0002297307,0.001943202],"category_scores_gemma":[0.00007400712,0.0002345637,0.0002062193,0.0001241464,0.000119792,0.0002461049,0.0003075747,0.0004984043,0.0005724402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004579347,"about_ca_system_score_gemma":0.0001784106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001474552,"about_ca_topic_score_gemma":0.001811353,"domain_scores_codex":[0.9999213,0.000009253497,0.000004613137,0.00002832537,0.00002125557,0.00001521025],"domain_scores_gemma":[0.9999387,0.000008881428,0.00001594354,0.000006851153,0.000009969063,0.00001954012],"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":[0.00002464953,0.000004211828,0.000068879,0.00001602988,0.000001572988,0.00002510104,0.000004651694,0.00001486097,0.9995322,0.00004106247,0.00004750274,0.0002192112],"study_design_scores_gemma":[0.00001563771,0.0001170181,0.009846755,0.000007681549,0.00001381389,0.0004070178,0.00005176387,0.002369555,0.9816223,0.00009719862,0.005435463,0.00001572727],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9879175,0.0007622608,0.006062977,0.0001720289,0.00004647493,0.00002958733,0.000994643,0.000821298,0.003193234],"genre_scores_gemma":[0.9906494,0.0001916453,0.002078203,0.00008706463,0.000005604958,0.0000201748,0.001017076,0.0001281668,0.005822788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001943202,"threshold_uncertainty_score":0.006500661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0102467250939476,"score_gpt":0.2007706474620722,"score_spread":0.1905239223681247,"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."}}