{"id":"W1531827852","doi":"","title":"Phenolics, antioxidant and anti-inflammatory activities of Melia azedarach extracts","year":2013,"lang":"en","type":"article","venue":"International journal of applied research in natural products","topic":"Phytochemicals and Antioxidant Activities","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Melia azedarach; Antioxidant; Chemistry; Lipid peroxidation; Traditional medicine; Monoacylglycerol lipase; Trolox; Food science; Biochemistry; DPPH; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006001816,0.000397656,0.0002182491,0.0004745925,0.0001670327,0.0001688169,0.00008074865,0.0001406166,0.000869773],"category_scores_gemma":[0.0000567284,0.00007621657,0.0002138877,0.0002021703,0.00009597182,0.0001558307,0.00008673083,0.0002449279,0.0001338773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001541425,"about_ca_system_score_gemma":0.0001088703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001002625,"about_ca_topic_score_gemma":0.002052699,"domain_scores_codex":[0.9999696,0.000004709026,0.00000319708,0.000006597652,0.000008455168,0.000007427199],"domain_scores_gemma":[0.9999592,0.000006252056,0.000009544738,0.000003061847,0.00001128654,0.00001056717],"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":[0.0001524598,0.00003523523,0.0005937979,0.000110772,0.00001112413,0.00004843589,0.00001960734,0.00003513434,0.9962656,0.00001620091,0.00001925991,0.002692284],"study_design_scores_gemma":[0.00004144794,0.001795221,0.09542586,0.00004906729,0.0001743717,0.000501362,0.0001182114,0.0005889038,0.8953465,0.00008155285,0.005861662,0.00001586276],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918032,0.00586115,0.0005421662,0.00007789668,0.00001565855,0.00002145665,0.0004506244,0.00002435079,0.001203428],"genre_scores_gemma":[0.9944063,0.001551325,0.00112039,0.0000819644,0.00001468734,0.00001494711,0.0007561162,0.000005457318,0.002048815],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001002625,"threshold_uncertainty_score":0.00290972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03067189647970163,"score_gpt":0.3357047235971099,"score_spread":0.3050328271174083,"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."}}