{"id":"W2911570417","doi":"10.1186/s12974-018-1380-5","title":"Peripheral adaptive immunity of the triple transgenic mouse model of Alzheimer’s disease","year":2019,"lang":"en","type":"article","venue":"Journal of Neuroinflammation","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hôtel-Dieu de Québec; Héma-Québec; Université Laval","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Peripheral; Genetically modified mouse; Disease; Transgene; Immunity; Neurology; Neuroscience; Acquired immune system; Medicine; Alzheimer's disease; Immunology; Biology; Immune system; Pathology; Internal medicine; Genetics; 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":[0.000391609,0.001109315,0.0005765906,0.001182171,0.0002966156,0.0005107496,0.0003295317,0.0007496579,0.002461011],"category_scores_gemma":[0.0001382454,0.0002784151,0.0004615115,0.0002862533,0.0004404593,0.0003818313,0.0002520439,0.001561436,0.0008058955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003880058,"about_ca_system_score_gemma":0.0002453697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003254185,"about_ca_topic_score_gemma":0.000498242,"domain_scores_codex":[0.9996876,0.00003221506,0.00003894563,0.0000861837,0.00008647144,0.00006854787],"domain_scores_gemma":[0.9997055,0.00002227604,0.00009801757,0.00002836932,0.00004298186,0.0001028599],"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":[0.0007381121,0.0003219342,0.000724037,0.00005405528,0.0000147271,0.0002727864,0.00005347328,0.00003689654,0.996111,0.00009422195,0.0001127538,0.001466012],"study_design_scores_gemma":[0.0005138611,0.008356358,0.03721198,0.0001010867,0.0002505435,0.006016119,0.000223358,0.001908912,0.9368596,0.0005853823,0.007926863,0.00004596208],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949381,0.001032935,0.001458461,0.0001319412,0.00005944151,0.00008657568,0.0008533314,0.0001455694,0.001293691],"genre_scores_gemma":[0.9880817,0.001020944,0.003322817,0.0001726229,0.00004273318,0.000319207,0.001626891,0.00006163263,0.005351464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002461011,"threshold_uncertainty_score":0.008232892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04577186729174919,"score_gpt":0.2943535606428462,"score_spread":0.248581693351097,"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."}}