{"id":"W4288358016","doi":"","title":"The role of plant miRNAs in shaping the rhizosphere microbiota","year":2019,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Plant Molecular Biology Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Armand Frappier Museum","funders":"","keywords":"Rhizosphere; microRNA; Biology; Computational biology; Computer science; Bacteria; Genetics; Gene","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":[0.0006664853,0.0004168073,0.0007007218,0.0003636182,0.0006203268,0.002169656,0.0002761076,0.001068894,0.00331021],"category_scores_gemma":[0.001145742,0.000207529,0.0003968057,0.0002599511,0.0007372121,0.001259414,0.001183172,0.0009046036,0.001460291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004526603,"about_ca_system_score_gemma":0.0005435391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005332642,"about_ca_topic_score_gemma":0.0005271017,"domain_scores_codex":[0.9994214,0.00009914204,0.00001960346,0.0002430254,0.0000932587,0.0001235577],"domain_scores_gemma":[0.9994246,0.0001544559,0.0000941327,0.00006109125,0.000116802,0.0001489699],"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":[0.0003813063,0.00002167143,0.004003062,0.0002599259,0.0000241073,0.000273255,0.0003923186,0.0003566047,0.9622261,0.004700438,0.0004708697,0.02689031],"study_design_scores_gemma":[0.0001229424,0.001473433,0.1477701,0.0003486345,0.0001758145,0.002449843,0.004232556,0.009931417,0.6608379,0.0344543,0.1380181,0.0001850044],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9113175,0.02886751,0.03265431,0.003510273,0.0007245765,0.00008364201,0.0008210112,0.0003325803,0.02168864],"genre_scores_gemma":[0.979958,0.005188975,0.006062267,0.0003556048,0.0001526516,0.00003236233,0.0002438,0.00008979538,0.007916506],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00331021,"threshold_uncertainty_score":0.01107371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01598242459546556,"score_gpt":0.2143442853998,"score_spread":0.1983618608043345,"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."}}