{"id":"W2119644997","doi":"10.1211/jpp.58.7.0012","title":"Protective effects of <i>Peganum harmala</i> L. extract, harmine and harmaline against human low-density lipoprotein oxidation","year":2006,"lang":"en","type":"article","venue":"Journal of Pharmacy and Pharmacology","topic":"Synthesis and bioactivity of alkaloids","field":"Biochemistry, Genetics and Molecular Biology","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health and Social Services Centre University Institute of Geriatrics of Sherbrooke; Université de Sherbrooke","funders":"","keywords":"Harmine; Peganum harmala; Harmaline; Chemistry; Antioxidant; Low-density lipoprotein; Vitamin E; Lipoprotein; Salvia miltiorrhiza; Biochemistry; Pharmacology; Traditional medicine; Biology; Cholesterol; 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":[],"consensus_categories":[],"category_scores_codex":[0.0005607076,0.0002342055,0.0003945723,0.0001289837,0.0001348659,0.00002118491,0.0001417874,0.0001441017,0.00003277732],"category_scores_gemma":[0.00004715356,0.0002083379,0.0001253046,0.00008219993,0.000231668,0.00003973416,0.00009424004,0.0003727345,7.471782e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001575661,"about_ca_system_score_gemma":0.00006115231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001008894,"about_ca_topic_score_gemma":0.00001461435,"domain_scores_codex":[0.998552,0.0002508643,0.0005163461,0.0002616618,0.0001759945,0.0002431586],"domain_scores_gemma":[0.9988116,0.00007686677,0.0006488236,0.00008835056,0.0002399224,0.0001344469],"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":[0.0008699604,0.0004780504,0.001772991,0.0002417168,0.000185692,0.00005040209,0.00003997592,0.00001221591,0.9813676,0.000006925404,0.002068763,0.01290566],"study_design_scores_gemma":[0.004238907,0.00054828,0.006771077,0.00004570355,0.0001750278,0.0001673492,0.0000174837,0.00009320957,0.9815005,0.00007622135,0.006161614,0.0002046013],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953107,0.002628075,0.0006507114,0.0005907316,0.0003203263,0.0003996276,0.00001122848,0.000006707137,0.0000819126],"genre_scores_gemma":[0.9969468,0.0009880709,0.0003371749,0.0004812069,0.001140391,0.00001236928,0.00001435368,0.00002091947,0.00005879014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01270106,"threshold_uncertainty_score":0.8495773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006364724166957791,"score_gpt":0.2649766857741771,"score_spread":0.2586119616072193,"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."}}