{"id":"W4387233223","doi":"10.20944/preprints202310.0019.v1","title":"The Modulatory Bioeffects of Pomegranate (<em>Punica granatum L.</em>) Polyphenols on Metabolic Disorders: Understanding their Preventive Role against Metabolic Syndrome","year":2023,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Pomegranate: compositions and health benefits","field":"Nursing","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Metabolic syndrome; Punica; Insulin resistance; Hyperlipidemia; Pharmacology; Dyslipidemia; Oxidative stress; Medicine; Antioxidant; Internal medicine; Chemistry; Diabetes mellitus; Endocrinology; Biochemistry; Traditional medicine","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow","sts","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.003276086,0.00158818,0.002512468,0.001662871,0.001941136,0.0002265582,0.002791061,0.001024187,0.0000745576],"category_scores_gemma":[0.0004545271,0.001338384,0.001550089,0.0016618,0.0006177664,0.0003396449,0.002427441,0.002781521,0.0005095744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000776891,"about_ca_system_score_gemma":0.000373425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005885774,"about_ca_topic_score_gemma":0.001511151,"domain_scores_codex":[0.9900975,0.001673901,0.00212484,0.00252368,0.001544216,0.002035907],"domain_scores_gemma":[0.9917922,0.001219313,0.001763088,0.004258202,0.0003552559,0.000611953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.008743539,0.01280035,0.07647927,0.01160558,0.03268014,0.0003795775,0.07212546,0.07567458,0.1618966,0.3830172,0.001262891,0.1633348],"study_design_scores_gemma":[0.004668856,0.0005598936,0.7000335,0.005570887,0.002043073,0.00003785931,0.00372241,0.006524763,0.042405,0.2197508,0.01072139,0.003961497],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9657162,0.01787184,0.000358567,0.001952033,0.004463261,0.004384529,0.0007796052,0.000896261,0.003577655],"genre_scores_gemma":[0.9900556,0.00754403,0.0001188126,0.0002726128,0.0002318779,0.0007660535,0.0002329134,0.0004057678,0.000372334],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6235543,"threshold_uncertainty_score":0.9996866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08023492763135694,"score_gpt":0.3194991113708512,"score_spread":0.2392641837394943,"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."}}