{"id":"W1977404342","doi":"10.4236/abb.2013.411a2001","title":"Synergistic effect of Mucuna pruriens and Withania somnifera in a paraquat induced Parkinsonian mouse model","year":2013,"lang":"en","type":"article","venue":"Advances in Bioscience and Biotechnology","topic":"Parkinson's Disease Mechanisms and Treatments","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Council of Scientific and Industrial Research, India; Indian Council of Medical Research; Department of Science and Technology, Ministry of Science and Technology, India; McGill University","keywords":"Mucuna pruriens; Withania somnifera; Paraquat; Parkinson's disease; Tyrosine hydroxylase; Traditional medicine; Medicine; Pharmacology; Lipid peroxidation; Chemistry; Antioxidant; Internal medicine; Dopamine; Biochemistry; Disease; Pathology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001333736,0.000171766,0.000359221,0.0003464383,0.000040772,0.000009633647,0.00009983135,0.0001945557,0.000003622299],"category_scores_gemma":[0.0001122468,0.0001223402,0.00002013008,0.0004129323,0.000415237,0.0002163288,0.00007765386,0.0001524666,0.000002970336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003378821,"about_ca_system_score_gemma":0.0000384623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001261252,"about_ca_topic_score_gemma":0.0001231123,"domain_scores_codex":[0.9988804,0.00002737578,0.0002100937,0.0004365528,0.0001255586,0.0003199489],"domain_scores_gemma":[0.9995529,0.00004785047,0.00007760628,0.00021409,0.0000169713,0.00009054672],"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":[0.0001945833,0.0003753965,0.2224364,0.0001888881,0.00001501126,0.00008435689,0.0001631697,0.0000233188,0.6594102,0.002942483,0.000002012435,0.1141642],"study_design_scores_gemma":[0.004755541,0.003204252,0.06075525,0.00035702,0.00005640076,0.00005769611,0.0002124353,0.02476566,0.8994566,0.005811611,0.0001998145,0.0003677476],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972849,0.001492638,0.0001864826,0.0004230167,0.00003290067,0.0004865732,0.00000720548,0.00003289972,0.00005331351],"genre_scores_gemma":[0.9957932,0.002786986,0.001225525,0.00008301684,0.000003954478,0.00007600661,0.000001660059,0.000007440293,0.00002222363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2400464,"threshold_uncertainty_score":0.4988888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007533891143389465,"score_gpt":0.2640160354919916,"score_spread":0.2564821443486021,"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."}}