{"id":"W4220684188","doi":"10.1016/j.psj.2022.101866","title":"Feather pulp: a novel substrate useful for proton nuclear magnetic resonance spectroscopy metabolomics and biomarker discovery","year":2022,"lang":"en","type":"article","venue":"Poultry Science","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Lethbridge","funders":"Canadian Glycomics Network; Alberta Agriculture and Forestry; University of Lethbridge; Agriculture and Agri-Food Canada; Lethbridge Research and Development Centre; Canadian Poultry Research Council","keywords":"Feather; Metabolome; Metabolomics; Pulp (tooth); Metabolite; Broiler; Repeatability; Food science; Biology; Chemistry; Chromatography; Biochemistry; Pathology; Ecology; Medicine","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":[0.0006562328,0.0001867177,0.0001941949,0.00009710735,0.0006586693,0.0001326347,0.00042928,0.00003899383,0.00002429376],"category_scores_gemma":[0.0001286231,0.0001707838,0.00007121709,0.0004052538,0.0003941624,0.00002552362,0.0004450371,0.0001044607,0.000001412821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003151126,"about_ca_system_score_gemma":0.0001211407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001572399,"about_ca_topic_score_gemma":0.000006130397,"domain_scores_codex":[0.9983376,0.00002604031,0.000189629,0.0007205336,0.0002535884,0.0004725567],"domain_scores_gemma":[0.9993761,0.00001601968,0.00009380516,0.0003628226,0.00006620512,0.00008510482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001818806,0.00008177457,0.01141384,0.00001303672,0.00001237455,8.234489e-7,0.00005990738,0.000005626246,0.985162,0.002233954,0.0002711668,0.0005635771],"study_design_scores_gemma":[0.00245298,0.001622301,0.1725837,0.000009924832,0.00007535038,0.0001036688,0.001462891,0.0009391025,0.337159,0.001165071,0.481508,0.0009180058],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925951,0.00448492,0.0007007715,0.000352204,0.0002500711,0.0007252786,0.0001693454,0.00001366751,0.0007085901],"genre_scores_gemma":[0.9901755,0.0006091665,0.007158446,0.0003731076,0.00007857991,0.0002420139,0.00001491844,0.00002824352,0.001320034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.648003,"threshold_uncertainty_score":0.696436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01661361825631952,"score_gpt":0.25634092030254,"score_spread":0.2397273020462205,"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."}}