{"id":"W4409417813","doi":"10.1016/j.bbrc.2025.151825","title":"Exploring post-bariatric plasma metabolic changes using ATR-FTIR spectroscopy: Clinical insights and molecular perspectives","year":2025,"lang":"en","type":"article","venue":"Biochemical and Biophysical Research Communications","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Wydział Lekarski, Uniwersytet Jagielloński Collegium Medicum; Faculty of Medicine, University of British Columbia; Uniwersytet Jagielloński w Krakowie; Uniwersytet Jagielloński Collegium Medicum","keywords":"Fourier transform infrared spectroscopy; Plasma chemistry; Chemistry; Spectroscopy; Plasma; Biochemistry; Chemical engineering; Physics; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001131725,0.0007412381,0.0006800626,0.0004241105,0.0001803596,0.001345496,0.0004260974,0.001094733,0.001263121],"category_scores_gemma":[0.0008972979,0.0002021198,0.0004369104,0.0004896618,0.0005485422,0.0009480322,0.0003377454,0.001362953,0.0003232913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002227631,"about_ca_system_score_gemma":0.0002351336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002640739,"about_ca_topic_score_gemma":0.0003367872,"domain_scores_codex":[0.999744,0.00008175398,0.00001985737,0.00005176986,0.00006258427,0.00003996442],"domain_scores_gemma":[0.9996347,0.0001104381,0.0001312508,0.0000301971,0.00005691836,0.00003646216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.007495922,0.0008312915,0.06006404,0.001734232,0.000459523,0.002863209,0.0004151648,0.000659542,0.7290291,0.00233994,0.002654482,0.1914535],"study_design_scores_gemma":[0.0004666481,0.008385503,0.4869606,0.0009285592,0.001286496,0.0143235,0.002624363,0.01041752,0.4122639,0.01500285,0.04710187,0.0002382214],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8211326,0.1087914,0.04541055,0.01119302,0.001085178,0.000147702,0.0009988931,0.0004645054,0.0107761],"genre_scores_gemma":[0.9371502,0.03526846,0.02112808,0.001869048,0.0008977951,0.0001069148,0.0005324756,0.00008111239,0.002965838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001345496,"threshold_uncertainty_score":0.0059852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2062861336151135,"score_gpt":0.4406674116249308,"score_spread":0.2343812780098173,"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."}}