{"id":"W2125405084","doi":"10.1186/1742-2094-9-62","title":"Minocycline corrects early, pre-plaque neuroinflammation and inhibits BACE-1 in a transgenic model of Alzheimer's disease-like amyloid pathology","year":2012,"lang":"en","type":"article","venue":"Journal of Neuroinflammation","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":113,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research; Merck Canada; McGill University","keywords":"Neuroinflammation; Amyloid precursor protein; Genetically modified mouse; Minocycline; Neuropathology; Neuroprotection; Amyloid precursor protein secretase; Inflammation; Amyloid beta; Transgene; Amyloid (mycology); Alzheimer's disease; Microglia; Medicine; Pathology; Pharmacology; Internal medicine; Chemistry; Disease; Biochemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0001901742,0.0007001057,0.0007453518,0.0004586542,0.0001812262,0.0002903371,0.0003510721,0.0005402507,0.0009548613],"category_scores_gemma":[0.000187859,0.0001596915,0.0002756347,0.0001487104,0.0003477179,0.0002930975,0.0001545464,0.0008724071,0.000250265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002766874,"about_ca_system_score_gemma":0.000342989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005815016,"about_ca_topic_score_gemma":0.001255081,"domain_scores_codex":[0.9998583,0.00001597265,0.00001686848,0.0000268946,0.00003502305,0.00004690403],"domain_scores_gemma":[0.9997067,0.00002250459,0.0001297073,0.00002425657,0.0000282229,0.00008865824],"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":[0.0007286387,0.0002348584,0.0001199911,0.00006604843,0.000007581446,0.00007881776,0.00001930566,0.00003624146,0.9969223,0.00003634284,0.00003831115,0.001711526],"study_design_scores_gemma":[0.0002036637,0.004824208,0.006095188,0.00002463942,0.0000492349,0.000502333,0.00004598503,0.0005261543,0.9860011,0.00008293566,0.001633653,0.00001086383],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954181,0.002253511,0.001262725,0.0001175379,0.00007405986,0.00004970119,0.0001447534,0.0001638328,0.0005158534],"genre_scores_gemma":[0.9924258,0.002059432,0.002643523,0.00007025154,0.00005571268,0.00009384911,0.0002665831,0.00004012684,0.002344732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009548613,"threshold_uncertainty_score":0.003194332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03512920895094768,"score_gpt":0.2969850729271555,"score_spread":0.2618558639762078,"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."}}