{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007673778,0.0005194652,0.001031518,0.0003199639,0.00005178286,0.00003981545,0.000240278,0.0005891682,0.00006056651],"category_scores_gemma":[0.0003226886,0.0004651361,0.0001000184,0.0001766404,0.0002382415,0.0002967946,0.00007602847,0.0005397693,0.000001611537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001754068,"about_ca_system_score_gemma":0.0007016886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001545131,"about_ca_topic_score_gemma":0.0003347814,"domain_scores_codex":[0.9974972,0.0001637112,0.0005660116,0.0005940648,0.0008312786,0.0003477224],"domain_scores_gemma":[0.9977731,0.0001777197,0.0008017855,0.0003889905,0.0007328658,0.000125567],"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":[0.0001885131,0.0001650041,0.008347183,0.0007536389,0.0002618745,0.000004596683,0.0004491,0.000003514681,0.9785351,0.000007320212,0.00001487728,0.01126926],"study_design_scores_gemma":[0.001677575,0.00001437412,0.1269524,0.0003629542,0.0002791366,0.00001980062,0.000724494,0.001320121,0.8681186,0.0001364332,0.000009858643,0.0003842819],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924125,0.003437518,9.791656e-7,0.00001083909,0.0002511831,0.000388481,0.0002753382,0.00003372467,0.003189452],"genre_scores_gemma":[0.9987294,0.0002461137,0.00003161536,0.000004209678,0.00004729541,0.00001747644,0.0007837032,0.00004119624,0.00009900673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1186052,"threshold_uncertainty_score":0.9997801,"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."}}