{"id":"W4402668779","doi":"10.1016/j.crfs.2024.100855","title":"NMR metabolomics of plant and yeast-based hydrolysates for cell culture media applications — A comprehensive assessment","year":2024,"lang":"en","type":"article","venue":"Current Research in Food Science","topic":"Viral Infectious Diseases and Gene Expression in Insects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Dalhousie University; Natural Sciences and Engineering Research Council of Canada; Good Food Institute; Gourmet Foods International","keywords":"Metabolomics; Yeast; Hydrolysate; Chemistry; Biotechnology; Computational biology; Biology; Chromatography; Biochemistry; Hydrolysis","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":[0.0004706281,0.0000824235,0.00009520472,0.0001782197,0.0001356964,0.00007079788,0.000244354,0.00004402269,0.000002268926],"category_scores_gemma":[0.00004840257,0.00006527601,0.00004626112,0.0004453184,0.0004740371,0.000008796641,0.0001603546,0.0001468619,9.212563e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002236801,"about_ca_system_score_gemma":0.0004633967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005124207,"about_ca_topic_score_gemma":0.000008720974,"domain_scores_codex":[0.9988479,0.0000529886,0.00014279,0.000392889,0.0002998234,0.0002635776],"domain_scores_gemma":[0.9993712,0.00006807491,0.00002740004,0.0002038236,0.000211645,0.0001177988],"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":[0.00003402906,0.0001897181,0.000433328,0.0003626347,0.000007888431,4.480658e-7,0.00008869649,0.0001453091,0.9901071,0.001929769,0.001827369,0.004873706],"study_design_scores_gemma":[0.0008914905,0.001263706,0.001266459,0.0002298276,0.00001537048,0.000003400681,0.0003549081,0.01566009,0.7893009,0.003503758,0.1872445,0.0002655913],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9605659,0.03294155,0.003792346,0.0001359991,0.0003039664,0.001157458,0.0007921861,0.00001546088,0.0002951815],"genre_scores_gemma":[0.9981287,0.000770335,0.0005624323,0.00001156454,0.00007792188,0.0003473968,0.00008751218,0.00000648142,0.000007650388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2008063,"threshold_uncertainty_score":0.2661878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07030413554095614,"score_gpt":0.409678659088469,"score_spread":0.3393745235475129,"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."}}