{"id":"W4205590678","doi":"10.1016/j.xpro.2021.101098","title":"Determining the metabolic impact of postbiotics in mice","year":2022,"lang":"en","type":"article","venue":"STAR Protocols","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Canadian Institutes of Health Research","keywords":"Peptidoglycan; Lipopolysaccharide; Immune system; Protocol (science); In vivo; Medicine; Receptor; Microbiology; Immunology; Chemistry; Biology; Internal medicine; Biochemistry; Pathology; Biotechnology; Enzyme","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002983319,0.00007833751,0.000120504,0.00003175651,0.00008090543,0.000006878929,0.0002153747,0.0000333028,0.00005692023],"category_scores_gemma":[0.00002777522,0.00005754718,0.00007890852,0.0001065322,0.00003264139,0.000001392227,0.0001692739,0.000117114,0.000001331781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002004441,"about_ca_system_score_gemma":0.0002490103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007451092,"about_ca_topic_score_gemma":0.00005161318,"domain_scores_codex":[0.9992857,0.0001264372,0.0001869366,0.0001409909,0.0000744084,0.0001855582],"domain_scores_gemma":[0.9996254,0.000009235948,0.00009154146,0.0002155934,0.00003179534,0.00002636748],"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":[0.0001534201,0.0001484477,0.05986754,0.00004670094,0.00002435071,0.000001434501,0.0002622766,0.0001394972,0.9374937,0.00004589063,0.0006243734,0.001192409],"study_design_scores_gemma":[0.003477235,0.003558798,0.744997,0.0000885314,0.00001930569,0.0000300133,0.0003662394,0.00008015895,0.198302,0.0001064719,0.04856848,0.0004058555],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.977481,0.00008105789,0.000006394187,0.00004479992,0.00001619661,0.02213809,0.00006778446,0.000002727096,0.0001619293],"genre_scores_gemma":[0.9899898,0.000006211375,0.0002208836,0.0001392992,0.00003322559,0.00950489,0.00003180748,0.00001242409,0.00006145864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7391917,"threshold_uncertainty_score":0.2346706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02007548259837208,"score_gpt":0.3512123233922938,"score_spread":0.3311368407939217,"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."}}