{"id":"W3031153868","doi":"10.1007/s42729-020-00263-5","title":"Bacterial Consortium and Microbial Metabolites Increase Grain Quality and Soybean Yield","year":2020,"lang":"en","type":"article","venue":"Journal of soil science and plant nutrition","topic":"Legume Nitrogen Fixing Symbiosis","field":"Agricultural and Biological Sciences","cited_by":66,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Partenariat Canadien Contre Le Cancer; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Koninklijke Nederlandse Akademie van Wetenschappen; Nederlands Instituut voor Ecologie; Fundação de Amparo à Pesquisa do Estado de São Paulo; U.S. Department of Agriculture","keywords":"Microbial inoculant; Bradyrhizobium; Biology; Bradyrhizobium japonicum; Inoculation; Dry weight; Agronomy; Azospirillum brasilense; Nitrogen fixation; Biofertilizer; Cultivar; Horticulture; Food science; Symbiosis; Bacteria; Rhizobiaceae; Rhizobium","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009322689,0.00008039508,0.0001849996,0.00002223788,0.0002165258,0.0001860219,0.0001033157,0.00004742598,0.00002349108],"category_scores_gemma":[0.0003857781,0.00003441467,0.00003009357,0.0002037453,0.000284368,0.0004309823,0.00004852304,0.0001056916,6.82164e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008233163,"about_ca_system_score_gemma":0.00002394561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002189449,"about_ca_topic_score_gemma":0.00006873825,"domain_scores_codex":[0.9991229,0.00006594579,0.0002547183,0.0001633615,0.0002403616,0.0001527239],"domain_scores_gemma":[0.9992647,0.0001703078,0.0001787245,0.00001518625,0.0001238613,0.0002472727],"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":[0.0001388618,0.00003491106,0.008311765,0.00001659178,0.000004857209,0.000006566275,0.0001217875,3.850461e-9,0.9882956,0.00007778204,0.000514821,0.002476485],"study_design_scores_gemma":[0.001412819,0.001104,0.4914991,0.0001978563,0.00008801842,0.0007950848,0.001232453,0.00003779602,0.4972729,0.001218677,0.004743003,0.0003983277],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930906,0.0004949701,3.421255e-7,0.006104876,0.00008037881,0.00006427224,0.0001306215,0.000006925535,0.0000270446],"genre_scores_gemma":[0.9984242,0.0003081325,0.0001021998,0.0007449021,0.0004103216,6.462102e-7,0.000007600685,3.678356e-7,0.000001578925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4910227,"threshold_uncertainty_score":0.1793814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03196428649624669,"score_gpt":0.2308427817524431,"score_spread":0.1988784952561964,"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."}}