{"id":"W3101586252","doi":"10.3389/fpls.2020.565339","title":"Root Adaptation via Common Genetic Factors Conditioning Tolerance to Multiple Stresses for Crops Cultivated on Acidic Tropical Soils","year":2020,"lang":"en","type":"review","venue":"Frontiers in Plant Science","topic":"Aluminum toxicity and tolerance in plants and animals","field":"Agricultural and Biological Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan","funders":"Fundação de Amparo à Pesquisa do Estado de Minas Gerais; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Canada Excellence Research Chairs, Government of Canada; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Biology; Arabidopsis; Drought tolerance; Abiotic stress; Gene; Population; Abiotic component; Genetics; Adaptation (eye); Candidate gene; Botany; Mutant; Ecology","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":[0.0003235398,0.0005790866,0.0007460045,0.001371242,0.0001452898,0.0005740093,0.0004191154,0.0005227478,0.002509309],"category_scores_gemma":[0.0003425246,0.0001319383,0.0002524205,0.001319393,0.000233612,0.000747673,0.000464277,0.0006871225,0.001098665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002997429,"about_ca_system_score_gemma":0.0007064409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007657668,"about_ca_topic_score_gemma":0.001751855,"domain_scores_codex":[0.9999372,0.000009597202,0.0000100476,0.00001811124,0.00001814153,0.000006933739],"domain_scores_gemma":[0.999853,0.00005820005,0.00002878673,0.000006192424,0.00003611529,0.0000175722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008926811,0.00003561775,0.0002522561,0.02089208,0.000103084,0.0001661282,0.00005013107,0.0002131309,0.005784177,0.00232706,0.01088812,0.959199],"study_design_scores_gemma":[0.00002342577,0.0001606938,0.003013953,0.004191556,0.0002900811,0.001574792,0.00008768078,0.00006986243,0.001557225,0.001736342,0.9872688,0.00002557991],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002463226,0.9987392,0.000125765,0.000128305,0.00005780054,0.000002737266,0.00002666825,0.000007229999,0.0006660909],"genre_scores_gemma":[0.001329299,0.9978836,0.0001580054,0.0000947221,0.00005093609,0.000004601975,0.00004475716,0.000001558879,0.0004325294],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002509309,"threshold_uncertainty_score":0.00839442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0482429828299548,"score_gpt":0.2740360045916404,"score_spread":0.2257930217616856,"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."}}