{"id":"W4297006572","doi":"10.1101/2022.09.22.508751","title":"Phytohormones enhance heavy metal responses in <i>Euglena gracilis</i> : evidence from uptake of Ni, Pb and Cd and linkages to hormonomic and metabolomic dynamics","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Biocrusts and Microbial Ecology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Euglena gracilis; Abscisic acid; Metabolomics; Acclimatization; Carotenoid; Biochemistry; Metabolism; Biology; Botany; Chemistry","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":[0.00009366243,0.0004226271,0.000270449,0.0003965954,0.0002028397,0.0004007774,0.0001952825,0.0002981511,0.0009019377],"category_scores_gemma":[0.00007828568,0.0001760431,0.0003373346,0.0003246023,0.0001799698,0.0002728108,0.0003438395,0.0004703301,0.0002149777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003164553,"about_ca_system_score_gemma":0.0001827558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002538219,"about_ca_topic_score_gemma":0.003403235,"domain_scores_codex":[0.999926,0.000009818501,0.000007629837,0.00002548392,0.0000145382,0.00001650287],"domain_scores_gemma":[0.9999028,0.00001537605,0.00002699566,0.00001224246,0.00002028121,0.00002230557],"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":[0.00005570738,0.000005982428,0.0001861393,0.00001866848,0.000003000487,0.00001198292,0.000007490169,0.000008675044,0.999363,0.000007874102,0.000009558051,0.0003218954],"study_design_scores_gemma":[0.00002376318,0.0003402898,0.1234637,0.00001844441,0.00006614023,0.0001937893,0.0001654787,0.0008309169,0.8719745,0.0000951663,0.002799946,0.000027851],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942761,0.001252003,0.00106503,0.0001405606,0.00001734389,0.00002418677,0.001902347,0.0001597862,0.001162803],"genre_scores_gemma":[0.9926175,0.0004278065,0.001765472,0.0001703181,0.000005482734,0.00002545074,0.002165638,0.00004807332,0.002774196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002538219,"threshold_uncertainty_score":0.005046844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01516877905546252,"score_gpt":0.2168415463875951,"score_spread":0.2016727673321326,"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."}}