{"id":"W4412175819","doi":"10.1007/s00253-025-13544-9","title":"Genomically-selected antifungal Bacillaceae strains improve wheat yield and baking quality","year":2025,"lang":"en","type":"article","venue":"Applied Microbiology and Biotechnology","topic":"Mycotoxins in Agriculture and Food","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bioinformatics Solutions (Canada)","funders":"Agencia Nacional de Promoción Científica y Tecnológica; Universidad Nacional del Litoral; Agencia Santafesina de Ciencia, Tecnología e Innovación; Consejo Nacional de Investigaciones Científicas y Técnicas","keywords":"Antifungal; Bacillaceae; Yield (engineering); Bacillales; Biotechnology; Food science; Biology; Microbiology; Bacteria; Materials science; Bacillus subtilis","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":[0.0001660291,0.0005402252,0.0003234636,0.0003622332,0.000126647,0.0003902436,0.0001986828,0.0002352073,0.0008712698],"category_scores_gemma":[0.0002553095,0.000151067,0.0003301861,0.0003988789,0.0001255605,0.0001697637,0.0003790838,0.0004140802,0.0003739268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001679452,"about_ca_system_score_gemma":0.0002249262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009907278,"about_ca_topic_score_gemma":0.001678044,"domain_scores_codex":[0.9997798,0.00002928565,0.00002786795,0.00005003326,0.00006511015,0.00004795284],"domain_scores_gemma":[0.9999057,0.00001425174,0.00003164214,0.00001341225,0.00002005194,0.00001504021],"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":[0.00005204777,0.00002266866,0.0005675976,0.00002165461,0.000005327775,0.00001548793,0.000007433004,0.00003188466,0.9970493,0.00001264877,0.00001343765,0.002200424],"study_design_scores_gemma":[0.00002192405,0.0005376087,0.0347806,0.00001473893,0.00007367245,0.0003791116,0.000124116,0.001068657,0.9605713,0.00005373439,0.00236297,0.00001169549],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943312,0.0005702116,0.003280226,0.00008528421,0.0000139522,0.00004322529,0.0007491853,0.0001337067,0.0007928152],"genre_scores_gemma":[0.9899911,0.0004349631,0.005629134,0.00006296799,0.00000586819,0.00004165265,0.002253606,0.0000476321,0.001533054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009907278,"threshold_uncertainty_score":0.002914667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009226281823321397,"score_gpt":0.2082308193210178,"score_spread":0.1990045374976964,"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."}}