{"id":"W1759747590","doi":"10.23860/diss-nahar-pragati-2015","title":"EVALUATION OF IN VITRO ANTI-INFLAMMATORY, ANTI-DIABETIC AND ANTI-LIPOGENIC ACTIVITY OF NATURAL POLYPHENOLIC EXTRACTS AND THEIR PURE CONSTITUENTS","year":2015,"lang":"en","type":"dissertation","venue":"","topic":"Plant-Derived Bioactive Compounds","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of General Medical Sciences; Agriculture and Agri-Food Canada; National Institutes of Health; Verdure Sciences","keywords":"Nutraceutical; Curcumin; Polyphenol; Health benefits; Anti-inflammatory; Human health; Natural (archaeology); Health promotion; Traditional medicine; Medicine; Biotechnology; Public health; Chemistry; Biology; Pharmacology; Food science; Biochemistry; Environmental health; Antioxidant; Nursing","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":[0.0001871917,0.0003025814,0.0001916229,0.0001993901,0.0001009864,0.0001620764,0.0001131293,0.0001296781,0.0008655165],"category_scores_gemma":[0.0001446625,0.00007891189,0.0002458017,0.0001798696,0.00009233084,0.0001635213,0.0001169579,0.0002963174,0.000122077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007224731,"about_ca_system_score_gemma":0.0001761882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000247718,"about_ca_topic_score_gemma":0.0005571393,"domain_scores_codex":[0.9999243,0.00002057537,0.000007716296,0.00001248171,0.00002149472,0.00001341886],"domain_scores_gemma":[0.9998915,0.00003350967,0.0000268898,0.000008557561,0.00002352213,0.00001596331],"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":[0.0003590304,0.0002719699,0.0002510544,0.0002747685,0.00002234793,0.00003944127,0.00003016794,0.0002067531,0.9954933,0.00003771467,0.00003962608,0.002973893],"study_design_scores_gemma":[0.00004593342,0.005465257,0.004095409,0.00004180842,0.0001110652,0.0001005532,0.00005114089,0.0005539862,0.9875544,0.00004910363,0.001923541,0.000007927607],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935188,0.004109368,0.001108801,0.00005113308,0.00002962948,0.0000446883,0.0002959007,0.00001272553,0.0008290961],"genre_scores_gemma":[0.9908942,0.003922874,0.002779543,0.00004017584,0.00002375203,0.00006391295,0.0004771092,0.000008265057,0.001790197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008655165,"threshold_uncertainty_score":0.002895474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02357384263443774,"score_gpt":0.2815973013349257,"score_spread":0.258023458700488,"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."}}