{"id":"W2998227765","doi":"10.4103/jpbs.jpbs_209_19","title":"Analysis of lard in sausage using Fourier transform infrared spectrophotometer combined with chemometrics","year":2019,"lang":"en","type":"article","venue":"Journal of Pharmacy And Bioallied Sciences","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Food science; Fourier transform infrared spectroscopy; Chemometrics; Processed meat; Food products; Chemistry; Cooked meat; Meat spoilage; Food processing; Product (mathematics); Mathematics; Food spoilage; Biology; Chromatography; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006641631,0.00006668905,0.0001824157,0.0006482797,0.00003669899,0.00003517205,0.0001651762,0.00002753702,0.00005936926],"category_scores_gemma":[0.000021405,0.00004698159,0.00007183677,0.001483652,0.0001515943,0.00002037226,0.0000128583,0.0000637432,4.277251e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007560662,"about_ca_system_score_gemma":0.00007853327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000643334,"about_ca_topic_score_gemma":0.000008666349,"domain_scores_codex":[0.9991748,0.0000300604,0.0003298866,0.0001316929,0.0002343703,0.00009919284],"domain_scores_gemma":[0.9994534,0.00001773494,0.0002808946,0.00008191977,0.00012383,0.00004224884],"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":[0.0003176535,0.0001036274,0.0992364,0.00002129141,0.0002165647,0.000001509329,0.0001262968,0.000324126,0.8989744,0.00005899594,0.00002160505,0.0005975272],"study_design_scores_gemma":[0.002223234,0.0005989172,0.0284408,0.00002005565,0.0002867635,0.00002126145,0.0003764396,0.007148846,0.9575517,0.00002981514,0.003140609,0.0001615274],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984749,0.0002288901,0.0005732697,0.0001087565,0.00006699484,0.00007702834,0.00000586895,8.318435e-7,0.0004634907],"genre_scores_gemma":[0.9981812,0.0002829821,0.001317269,0.00005944179,0.0000157328,4.821788e-7,0.000003909999,0.000002689448,0.0001362449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0707956,"threshold_uncertainty_score":0.1915854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03407201104403366,"score_gpt":0.3214825312366436,"score_spread":0.2874105201926099,"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."}}