{"id":"W3161208118","doi":"10.3389/fsufs.2021.672881","title":"Mycorrhizal-Bacterial Amelioration of Plant Abiotic and Biotic Stress","year":2021,"lang":"en","type":"article","venue":"Frontiers in Sustainable Food Systems","topic":"Plant-Microbe Interactions and Immunity","field":"Agricultural and Biological Sciences","cited_by":105,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Coordinación de la Investigación Científica; Universidad Michoacana de San Nicolás de Hidalgo; Consejo Nacional de Ciencia y Tecnología","keywords":"Abiotic component; Biotic stress; Biology; Biotic component; Plant growth; Abiotic stress; Nutrient; Population; Ecology; Botany","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002548956,0.000499076,0.0004344027,0.0003897898,0.0002179956,0.0004205423,0.0001935753,0.000397512,0.001086963],"category_scores_gemma":[0.0001298228,0.00008355713,0.000304658,0.0001952382,0.0001721246,0.0002876505,0.0002904418,0.0004962201,0.0002496549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002855068,"about_ca_system_score_gemma":0.0003496299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003084239,"about_ca_topic_score_gemma":0.001101985,"domain_scores_codex":[0.9998577,0.00003179,0.00000930857,0.00002311036,0.00004425481,0.00003394853],"domain_scores_gemma":[0.9999151,0.00001477214,0.00002489284,0.000006289108,0.00001867612,0.00002014004],"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":[0.00006737891,0.00004986508,0.0004622232,0.0006171319,0.00001999685,0.00007789353,0.00002035761,0.00008188552,0.9786546,0.0002985432,0.000143501,0.01950655],"study_design_scores_gemma":[0.00002380944,0.001555506,0.02610396,0.000192077,0.0001481867,0.0006084573,0.0001778839,0.001011505,0.9312346,0.0006552137,0.03826565,0.00002323076],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7402857,0.2171863,0.02507927,0.001826652,0.0006038921,0.0001820697,0.0004700531,0.0004834506,0.01388259],"genre_scores_gemma":[0.9551946,0.0302981,0.00950403,0.0003100274,0.0001090259,0.0000415635,0.0001681459,0.00002305512,0.00435148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001086963,"threshold_uncertainty_score":0.003636181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008777268496259356,"score_gpt":0.1871415250146805,"score_spread":0.1783642565184211,"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."}}