{"id":"W2425986993","doi":"10.1038/npp.2015.279","title":"Tissue-Plasminogen Activator Attenuates Alzheimer’s Disease-Related Pathology Development in APPswe/PS1 Mice","year":2015,"lang":"en","type":"article","venue":"Neuropsychopharmacology","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; Centre hospitalier de l'Université Laval","funders":"Fonds de recherche du Québec – Nature et technologies; Canadian Institutes of Health Research; Canadian Stroke Network","keywords":"Microglia; Plasmin; Genetically modified mouse; Tissue plasminogen activator; Pathogenesis; Plasminogen activator; Alzheimer's disease; Neuroscience; Neuroprotection; Medicine; Population; Amyloid beta; Immunology; Transgene; Pharmacology; Pathology; Biology; Inflammation; Endocrinology; Internal medicine; Disease; Biochemistry; Gene","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004950355,0.001374453,0.001005569,0.001768434,0.0005379518,0.001056275,0.0008485047,0.001361299,0.002737229],"category_scores_gemma":[0.0005187325,0.0005998456,0.0007341109,0.0006174746,0.001120177,0.001223517,0.0003798302,0.003690763,0.001009208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005010826,"about_ca_system_score_gemma":0.0008185577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00158085,"about_ca_topic_score_gemma":0.001933566,"domain_scores_codex":[0.9993364,0.00008597319,0.00009671803,0.0001403504,0.0001313742,0.0002091564],"domain_scores_gemma":[0.9988406,0.0001383218,0.0003969055,0.0001205468,0.0001020956,0.0004015837],"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":[0.002886779,0.0007584799,0.0002586637,0.00008556123,0.00003414486,0.0003705421,0.0001205482,0.00008528286,0.991979,0.0003531744,0.0002238364,0.002843888],"study_design_scores_gemma":[0.0003931343,0.002373436,0.005827365,0.00003271993,0.0001257087,0.0006996934,0.0002017348,0.001051908,0.9857271,0.0004269529,0.003107049,0.00003314404],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920439,0.001917934,0.002388938,0.0007018028,0.0002613475,0.000069528,0.0008721119,0.0002925427,0.001451894],"genre_scores_gemma":[0.9822313,0.002561355,0.00291843,0.000266181,0.0001235964,0.0001749781,0.0008627423,0.0001561804,0.01070514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002737229,"threshold_uncertainty_score":0.009156942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05480932330609446,"score_gpt":0.3593793190791957,"score_spread":0.3045699957731013,"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."}}