{"id":"W4388774246","doi":"10.1101/2023.11.16.567418","title":"Intermittent water stress favors microbial generalists that better help wheat under drought","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Plant-Microbe Interactions and Immunity","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada; Alliance de recherche numérique du Canada","keywords":"Soil water; Metagenomics; Water stress; Abiotic stress; Abiotic component; Generalist and specialist species; Agronomy; Biomass (ecology); Biology; Rhizosphere; Resistance (ecology); Environmental science; Ecology; Gene; Habitat","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":[0.0001411702,0.0003645093,0.0003046569,0.0003233828,0.0003697267,0.0004918796,0.0001504707,0.0005126289,0.001201791],"category_scores_gemma":[0.0001915556,0.0001590638,0.0002673729,0.0003445208,0.0002077777,0.0004748224,0.0005602441,0.000406081,0.0002353318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001924162,"about_ca_system_score_gemma":0.0001697689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006664279,"about_ca_topic_score_gemma":0.001118874,"domain_scores_codex":[0.9998704,0.000009135906,0.000009330909,0.0000497867,0.00001612852,0.00004525797],"domain_scores_gemma":[0.9998156,0.00001684475,0.00005210136,0.00001859241,0.00003269144,0.0000641908],"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":[0.0001423514,0.00006653238,0.02677109,0.00008890654,0.00002928931,0.00008801727,0.0001220432,0.00008335636,0.9685513,0.00005513671,0.00009623931,0.003905706],"study_design_scores_gemma":[0.0000367891,0.0008219255,0.8870848,0.00002815257,0.0001098923,0.0006008279,0.001530692,0.001024878,0.1046496,0.0003258184,0.003762807,0.00002382545],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987463,0.000235364,0.0003693331,0.00005218913,0.000006381093,0.000008068412,0.0002100011,0.00001452875,0.000357756],"genre_scores_gemma":[0.997996,0.0001529222,0.0007358405,0.0001005164,0.00001063317,0.00001106751,0.0005242611,0.000006105605,0.0004626866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001201791,"threshold_uncertainty_score":0.004020333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03107362271917111,"score_gpt":0.2166858205177663,"score_spread":0.1856121977985952,"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."}}