{"id":"W4298139679","doi":"10.1101/2022.09.29.510153","title":"Metatranscriptomic response of the wheat holobiont to decreasing soil water content","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; National Research Council Canada; Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo; Compute Canada","keywords":"Rhizosphere; Precipitation; Holobiont; Biology; Agronomy; Abundance (ecology); Crop; Growing season; Transcriptome; Bacteria; Botany; Ecology; Symbiosis; Gene; Geography","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":[0.0001279259,0.0003625636,0.0002807768,0.0002681296,0.0002280163,0.0003724248,0.0001210949,0.0002882613,0.0008808572],"category_scores_gemma":[0.0001296856,0.0001719928,0.0002555221,0.0003102802,0.0001910927,0.0001965766,0.0002126449,0.0004588897,0.0002170337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002634914,"about_ca_system_score_gemma":0.0001948131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002260325,"about_ca_topic_score_gemma":0.002257317,"domain_scores_codex":[0.9998624,0.00001013372,0.000006746473,0.00006308693,0.00002956168,0.0000279213],"domain_scores_gemma":[0.9999071,0.00001904095,0.00001916176,0.000008233245,0.00002329713,0.00002310838],"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":[0.00007854887,0.000008163331,0.0008596284,0.00001486455,0.000003481576,0.00001142183,0.00001916855,0.00002852006,0.9984336,0.00001167883,0.00001801423,0.0005128948],"study_design_scores_gemma":[0.00002921673,0.0003579481,0.3117287,0.00001896574,0.00005335409,0.0001613282,0.0003935112,0.003221911,0.6813142,0.0001614456,0.00253692,0.00002248382],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945839,0.0004471968,0.001773648,0.00005817999,0.00002148539,0.00001988308,0.002423778,0.00003294121,0.0006390288],"genre_scores_gemma":[0.9888925,0.0002985143,0.002565187,0.0001519272,0.00001687633,0.0000576011,0.004676445,0.00003498505,0.003305959],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002260325,"threshold_uncertainty_score":0.004494369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02163165988645238,"score_gpt":0.2131708017952284,"score_spread":0.1915391419087761,"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."}}