{"id":"W2038106613","doi":"10.1007/s11064-012-0874-2","title":"Quantitative Proteomic Analysis of Human Substantia Nigra in Alzheimer’s Disease, Huntington’s Disease and Multiple Sclerosis","year":2012,"lang":"en","type":"article","venue":"Neurochemical Research","topic":"Genetic Neurodegenerative Diseases","field":"Neuroscience","cited_by":44,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"","keywords":"Substantia nigra; Disease; Multiple sclerosis; Huntington's disease; Parkinson's disease; Neurology; Degenerative disease; Neuroscience; Pathology; Biology; Medicine; Immunology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005621096,0.0002507688,0.0004053217,0.0009812575,0.0002165049,0.00007294392,0.0004894405,0.00005488194,0.00007560571],"category_scores_gemma":[0.007532969,0.0002457366,0.0001756176,0.002924694,0.000863669,0.0002403702,0.0004224726,0.000467213,0.00001693497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003716386,"about_ca_system_score_gemma":0.0001027822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007302176,"about_ca_topic_score_gemma":0.00001925222,"domain_scores_codex":[0.99548,0.001040738,0.0004680463,0.0008983768,0.001178196,0.0009346118],"domain_scores_gemma":[0.9965863,0.001556468,0.000111679,0.0005927893,0.0001936402,0.0009591117],"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":[0.0002985577,0.0004377453,0.3040693,0.0000290723,0.00002779401,0.000005027403,0.0001709334,0.0000274432,0.6943155,0.0005173351,0.00005099692,0.00005024371],"study_design_scores_gemma":[0.0002605735,0.00004998501,0.4439786,0.00002242499,0.0001575938,7.034194e-8,0.0000297506,0.001148213,0.5540866,0.0001401928,0.000002846509,0.0001231638],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981742,0.0004966824,0.000007656044,0.0002159295,0.00003180885,0.0007917439,0.0001668456,0.00003181844,0.00008333516],"genre_scores_gemma":[0.999456,0.0001293198,0.00007213545,0.0001021272,0.0000327523,0.000126931,0.00002151078,0.00004054689,0.00001862704],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1402289,"threshold_uncertainty_score":0.9999995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2582428064083684,"score_gpt":0.4074789622920448,"score_spread":0.1492361558836763,"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."}}