{"id":"W3210052873","doi":"10.3389/fpls.2021.736614","title":"Variability in Physiological Traits Reveals Boron Toxicity Tolerance in Aegilops Species","year":2021,"lang":"en","type":"article","venue":"Frontiers in Plant Science","topic":"Plant Micronutrient Interactions and Effects","field":"Agricultural and Biological Sciences","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Türkiye Bilimsel ve Teknolojik Araştırma Kurumu; Alberta Agricultural Research Institute","keywords":"Biology; Shoot; Toxicity; Proline; Abiotic component; Cultivar; Lipid peroxidation; Abiotic stress; Agronomy; Defence mechanisms; Botany; Horticulture; Gene; Oxidative stress; Genetics; Chemistry; Ecology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001104461,0.0002901434,0.0002580704,0.0008338999,0.0002385253,0.0002580505,0.0001328164,0.0002264408,0.0008317358],"category_scores_gemma":[0.0001268067,0.0001392487,0.0002289516,0.0003816387,0.0001487482,0.0002106596,0.0002637164,0.0003777142,0.0001946544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002143882,"about_ca_system_score_gemma":0.00008597777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001556448,"about_ca_topic_score_gemma":0.002578076,"domain_scores_codex":[0.9999001,0.00001301404,0.00001347764,0.00004764797,0.00001258975,0.00001309781],"domain_scores_gemma":[0.9998901,0.00001581344,0.0000392245,0.00001308681,0.00001435578,0.00002742503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002452401,0.00005185135,0.03224835,0.00004293523,0.00005613771,0.0002121597,0.0003221405,0.00006880188,0.9636119,0.00004084257,0.00005031523,0.003049321],"study_design_scores_gemma":[0.00001068877,0.0002173228,0.9848036,0.000008866054,0.00005318344,0.0005901668,0.0003407997,0.0001725612,0.01259534,0.00004854961,0.001143348,0.00001559669],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986249,0.0001999709,0.0001971126,0.0000119979,0.00000291435,0.000007228875,0.0005192188,0.000009707136,0.0004270106],"genre_scores_gemma":[0.9972976,0.000224648,0.0005931262,0.00003799079,0.000003412372,0.00002087676,0.001084376,0.00001566504,0.0007222965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001556448,"threshold_uncertainty_score":0.003094792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01709005047564813,"score_gpt":0.2159114394149259,"score_spread":0.1988213889392778,"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."}}