{"id":"W7114828068","doi":"","title":"Advancing microbial diversity characterization for ecological innovation: bifidobacteriafrom pre-weaning calves","year":2025,"lang":"en","type":"article","venue":"Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna)","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministerstvo Zemědělství; HORIZON EUROPE Framework Programme; Fonds Wetenschappelijk Onderzoek; Fundação para a Ciência e a Tecnologia; Fundação de Amparo à Pesquisa do Estado de São Paulo; International Council for Canadian Studies; Vlaamse regering; European Commission","keywords":"Bifidobacterium; Bifidobacterium bifidum; Bifidobacterium animalis; Probiotic; Bifidobacterium longum; Livestock; Identification (biology); Bifidobacterium breve","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006315554,0.0004367728,0.0005206907,0.001799091,0.0004277425,0.001188393,0.0003240374,0.0004161792,0.0008294912],"category_scores_gemma":[0.0006625718,0.0001872878,0.0003190673,0.001229832,0.0001730857,0.0004412432,0.0006311821,0.0003759812,0.0004016005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002750524,"about_ca_system_score_gemma":0.0003221455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003873613,"about_ca_topic_score_gemma":0.004737524,"domain_scores_codex":[0.9995074,0.00007023444,0.00004303987,0.0001128848,0.0001524689,0.0001139799],"domain_scores_gemma":[0.9997686,0.00003862059,0.00004562164,0.00001658629,0.0000805937,0.00004999931],"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":[0.0001269767,0.00005580581,0.03494729,0.00007554624,0.00002221002,0.00007671631,0.0001625291,0.00006805574,0.9493207,0.00002756803,0.00002978607,0.01508682],"study_design_scores_gemma":[0.00001511822,0.0006206696,0.6710678,0.00006932246,0.0001489586,0.0007490176,0.000698742,0.00173478,0.3212309,0.0001085405,0.003533048,0.0000231716],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893847,0.001925902,0.006837709,0.00004598722,0.00001101718,0.00005687662,0.0008299015,0.00002412252,0.0008837323],"genre_scores_gemma":[0.9791683,0.001532648,0.01619975,0.00007337757,0.0000111084,0.000055751,0.002101911,0.00001961024,0.0008375269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003873613,"threshold_uncertainty_score":0.007702112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01108481478318857,"score_gpt":0.2371721436999525,"score_spread":0.2260873289167639,"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."}}