{"id":"W4399390218","doi":"10.1128/spectrum.00260-24","title":"Comparative genomic analysis of <i>Bradyrhizobium</i> strains with natural variability in the efficiency of nitrogen fixation, competitiveness, and adaptation to stressful edaphoclimatic conditions","year":2024,"lang":"en","type":"article","venue":"Microbiology Spectrum","topic":"Legume Nitrogen Fixing Symbiosis","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Fundação Araucária; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Natural Sciences and Engineering Research Council of Canada; Mitacs; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Adaptation (eye); Nitrogen fixation; Bradyrhizobium; Biology; Psychology; Cognitive psychology; Genetics; Neuroscience; Bacteria","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":[0.0002197842,0.0003940634,0.0003276605,0.0007079479,0.0001699774,0.0003041557,0.0002338739,0.0001504589,0.0003489128],"category_scores_gemma":[0.0003029073,0.0001663967,0.0003677003,0.0007245588,0.0001500964,0.00009237108,0.0003111568,0.0003000454,0.0001262853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002051772,"about_ca_system_score_gemma":0.0001842075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002427892,"about_ca_topic_score_gemma":0.002572171,"domain_scores_codex":[0.9997613,0.00002910664,0.00002678559,0.00008033613,0.00005176715,0.00005079198],"domain_scores_gemma":[0.9996594,0.00005691325,0.0001324249,0.00003167108,0.00006199689,0.00005766772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001043972,0.00002900682,0.004132491,0.00003633368,0.00002243715,0.00003815127,0.00005163662,0.00003395399,0.9942028,0.00001630371,0.000009803943,0.001322719],"study_design_scores_gemma":[0.00004299518,0.001249698,0.7318472,0.00002748738,0.000293114,0.001456431,0.0005752902,0.001266895,0.2597485,0.00005612861,0.003408774,0.0000274959],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997963,0.0001569546,0.0006243046,0.000009507767,0.00000356649,0.00002082411,0.0009094738,0.000008531385,0.0003038135],"genre_scores_gemma":[0.9922975,0.0001789144,0.002404466,0.00002434973,0.000004648451,0.00004431611,0.004696185,0.00001938492,0.0003303163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002427892,"threshold_uncertainty_score":0.004827499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01100897028558126,"score_gpt":0.2279072076511356,"score_spread":0.2168982373655543,"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."}}