{"id":"W2506432941","doi":"10.1016/j.bbi.2016.07.148","title":"Neuronal Pentraxin 2 predicts medial temporal atrophy and memory decline across the Alzheimer’s disease spectrum","year":2016,"lang":"en","type":"article","venue":"Brain Behavior and Immunity","topic":"Neuroinflammation and Neurodegeneration Mechanisms","field":"Neuroscience","cited_by":88,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Institute on Aging; Canadian Institutes of Health Research; National Institutes of Health; Iowa State University; Alzheimer's Disease Neuroimaging Initiative; National Institute of Biomedical Imaging and Bioengineering; Alzheimer's Drug Discovery Foundation; Alzheimer's Association; U.S. Department of Defense","keywords":"Neuroinflammation; Atrophy; Neuropathology; Cognitive decline; Biomarker; Neuroscience; Alzheimer's Disease Neuroimaging Initiative; Temporal lobe; Medicine; Neuroimaging; Amyloid beta; Pathology; Alzheimer's disease; Psychology; Dementia; Internal medicine; Disease; Biology; Epilepsy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000443044,0.000670133,0.0005034606,0.0007678996,0.0005340264,0.000659526,0.000366235,0.0007513482,0.001266613],"category_scores_gemma":[0.000748845,0.0003149126,0.0004560908,0.0004031903,0.0004630205,0.0005684358,0.0006355582,0.0006494559,0.0002541949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003047882,"about_ca_system_score_gemma":0.0001578119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0033173,"about_ca_topic_score_gemma":0.004076835,"domain_scores_codex":[0.9998147,0.00003293839,0.00002972207,0.00006209872,0.00003106777,0.00002952311],"domain_scores_gemma":[0.9993512,0.00006012055,0.0003479035,0.00005280261,0.00007548952,0.0001124967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001562575,0.0001419995,0.989601,0.00001251804,0.0001799512,0.0008368969,0.00009724901,0.00006955292,0.005273869,0.00005402552,0.0001435602,0.002026844],"study_design_scores_gemma":[0.00000834824,0.0001216565,0.9976385,0.000004906943,0.00006228289,0.001381433,0.0001015558,0.000128487,0.0003532552,0.0001189509,0.00007679895,0.000003891037],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992235,0.0001630488,0.0000577584,0.0000311951,0.000005132758,0.00000335649,0.00007792095,0.000003596269,0.0004345873],"genre_scores_gemma":[0.9993653,0.00008356548,0.00007633674,0.00002489472,0.000005707103,0.000003041162,0.0001381782,0.000002251247,0.0003006856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0033173,"threshold_uncertainty_score":0.006595969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04184140245128928,"score_gpt":0.2917120721240204,"score_spread":0.2498706696727311,"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."}}