{"id":"W4411011167","doi":"10.1016/j.anifeedsci.2025.116416","title":"Oral-stomach sampling as an alternative to rumen canula for the inoculation of in vitro batch fermentation systems","year":2025,"lang":"en","type":"article","venue":"Animal Feed Science and Technology","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Lallemand; Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement; Centre Mondial de l’Innovation Roullier; Adisseo France","keywords":"Rumen; Fermentation; In vitro; Stomach; Inoculation; Biology; Food science; Animal science; Microbiology; Chemistry; Biochemistry; Immunology","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":[0.0003380217,0.00006067999,0.0001181804,0.0001103093,0.0002201842,0.00003112851,0.0002273981,0.00005538175,0.00000196503],"category_scores_gemma":[0.0001458439,0.0000254578,0.00001141697,0.001230384,0.000348677,0.0001322373,0.00006873951,0.00004798996,9.351708e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003563808,"about_ca_system_score_gemma":0.00002417358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00168031,"about_ca_topic_score_gemma":0.0002813289,"domain_scores_codex":[0.9993281,0.00002104315,0.0001417592,0.0002434388,0.00009383367,0.0001717699],"domain_scores_gemma":[0.9995825,0.0001085047,0.00005062516,0.00004127247,0.0001920942,0.00002497257],"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":[0.00009895575,0.00002992875,0.00349747,0.000003273963,0.000001872723,1.702533e-7,0.00004420375,0.00000897432,0.9423859,0.03156064,0.000007392562,0.02236118],"study_design_scores_gemma":[0.0004581025,0.001638661,0.5625272,0.00004716188,0.00001142741,0.000005127248,0.00679492,0.007004528,0.3999966,0.01996821,0.001387217,0.0001608719],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941099,0.00006073107,0.00009177712,0.005135256,0.00005576261,0.0004286484,0.00001086963,0.00001967794,0.00008740758],"genre_scores_gemma":[0.9995794,0.00001500657,0.0001262463,0.0001642803,0.00001230734,0.00007512669,0.000006959858,3.287176e-7,0.00002034772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5590297,"threshold_uncertainty_score":0.2540137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03030090773985702,"score_gpt":0.314869152999569,"score_spread":0.2845682452597119,"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."}}