{"id":"W4412306419","doi":"","title":"A proton NMR spectroscopic investigation of the endogenous response to intake of inulin and calcium","year":2022,"lang":"en","type":"article","venue":"","topic":"Microbial Metabolites in Food Biotechnology","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Eesti Teadusagentuur; Fundação de Amparo à Pesquisa do Estado de São Paulo; Natural Sciences and Engineering Research Council of Canada; Fundação de Amparo à Pesquisa do Estado de Goiás; European Commission; Financiadora de Estudos e Projetos; Sihtasutus Archimedes","keywords":"Inulin; Calcium; Endogeny; Chemistry; Proton; Proton NMR; Food science; Biochemistry; Organic chemistry; Physics; Nuclear physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004922412,0.00007868904,0.0001687464,0.0001523722,0.00008618539,0.000004832842,0.0002656848,0.00005810977,0.0001093288],"category_scores_gemma":[0.0003542491,0.00006209865,0.00003020056,0.0004971536,0.0001782045,0.00001923147,0.0002913163,0.0002005174,0.000001870814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007351606,"about_ca_system_score_gemma":0.00004403351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000169974,"about_ca_topic_score_gemma":0.00002118732,"domain_scores_codex":[0.9989003,0.0003649991,0.000266248,0.0001741975,0.0001526394,0.0001416429],"domain_scores_gemma":[0.9993871,0.00007385825,0.0001287532,0.0003496327,0.0000332325,0.00002738068],"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":[0.0008644152,0.00002527908,0.00472927,0.00003681191,0.000006306903,4.614697e-7,0.001721615,0.000007292058,0.9916085,0.0003514203,0.0001013844,0.0005472664],"study_design_scores_gemma":[0.0003010322,0.0008205805,0.006504296,0.00001378095,0.00001396681,0.00002782196,0.0003123568,0.00001129295,0.9877152,0.0007719368,0.003449655,0.00005812489],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935354,0.00009841286,0.00002698165,0.004602414,0.0002296129,0.001306958,0.00001937446,0.0000324068,0.0001484212],"genre_scores_gemma":[0.9974771,5.126445e-7,0.001803778,0.0005337407,0.00001300437,0.00006606869,9.927767e-7,0.00001084828,0.00009397503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004068673,"threshold_uncertainty_score":0.253231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02922125453247364,"score_gpt":0.2593480366889185,"score_spread":0.2301267821564449,"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."}}