{"id":"W3042659542","doi":"10.1021/acs.jafc.0c02688","title":"Identification and Quantitation of Hydroxy Fatty Acids in Fermented Sausage Samples","year":2020,"lang":"en","type":"article","venue":"Journal of Agricultural and Food Chemistry","topic":"Meat and Animal Product Quality","field":"Agricultural and Biological Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Canada Research Chairs; Government of Canada","keywords":"Starter; Lactobacillus sakei; Fermentation; Chemistry; Food science; Fatty acid; Chromatography; Biochemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004166938,0.001155888,0.0003226785,0.001799517,0.0003520583,0.0004228977,0.0002399697,0.0005147406,0.0007720425],"category_scores_gemma":[0.000501586,0.000243794,0.0003722707,0.0008830337,0.0003513125,0.0004077711,0.0004837259,0.0005219857,0.0003507966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001839722,"about_ca_system_score_gemma":0.0002752867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000927613,"about_ca_topic_score_gemma":0.001116733,"domain_scores_codex":[0.9996188,0.00005951329,0.00004213911,0.0001137578,0.0001140598,0.00005167843],"domain_scores_gemma":[0.9997017,0.00005173395,0.00006544121,0.00002718895,0.0001063082,0.0000476055],"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":[0.0000961787,0.00001528941,0.0007932065,0.00003522322,0.000009707971,0.00003903569,0.0000421095,0.00002163304,0.997579,0.00001792163,0.000006243448,0.001344272],"study_design_scores_gemma":[0.0000078229,0.0003830957,0.02799181,0.00003040572,0.00005092417,0.000294849,0.0002430131,0.001189243,0.968134,0.00008230915,0.001570706,0.00002179871],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9771166,0.002808386,0.01712486,0.00004402483,0.00005833427,0.0001155259,0.001687404,0.0001329104,0.0009119068],"genre_scores_gemma":[0.911815,0.004025281,0.0742247,0.0002165272,0.0000663929,0.0004584253,0.005192699,0.0001021129,0.003898856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001799517,"threshold_uncertainty_score":0.002582669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04379477502893971,"score_gpt":0.2392014082541392,"score_spread":0.1954066332251995,"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."}}