{"id":"W2808364202","doi":"10.1002/ana.25266","title":"Targeted brain proteomics uncover multiple pathways to Alzheimer's dementia","year":2018,"lang":"en","type":"article","venue":"Annals of Neurology","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":132,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Institute on Aging; National Institutes of Health; National Institute of General Medical Sciences; Illinois Department of Public Health; U.S. Department of Energy","keywords":"Proteomics; Dementia; Neuroscience; Alzheimer's disease; Computational biology; Medicine; Psychology; Biology; Disease; Pathology; Genetics; Gene","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":[],"consensus_categories":[],"category_scores_codex":[0.0001625384,0.0001697976,0.0003120984,0.0001627113,0.00007277326,0.000007155713,0.0001389744,0.0001048141,0.0002716983],"category_scores_gemma":[0.0002995663,0.0001465758,0.0001215543,0.0002147998,0.0001892382,0.00006437428,0.0001227261,0.0001370009,0.0004079696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002945822,"about_ca_system_score_gemma":0.0001619835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000836796,"about_ca_topic_score_gemma":0.00003162757,"domain_scores_codex":[0.9984555,0.0001190511,0.0002646881,0.0003679387,0.0002700699,0.0005227047],"domain_scores_gemma":[0.9986206,0.0001152866,0.00008294358,0.0004109842,0.0003373499,0.0004327782],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0239826,0.005832667,0.5643002,0.0001391493,0.07734,0.0021196,0.001023451,0.00003748715,0.0902216,0.0008605574,0.2182347,0.01590799],"study_design_scores_gemma":[0.006681321,0.02738283,0.5432082,0.00004632863,0.00136476,0.00009502222,0.00002738529,0.0008100601,0.3882173,0.002012565,0.02966695,0.0004872372],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844728,0.001888858,0.00005648258,0.01171411,0.0001112077,0.0009259064,0.00008696885,0.0000497552,0.0006939482],"genre_scores_gemma":[0.9860154,0.00003343419,0.0005725352,0.01307772,0.0001498638,0.00006223856,0.00005009844,0.00003085795,0.000007884509],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2979957,"threshold_uncertainty_score":0.5977187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09541673468026446,"score_gpt":0.3541712237068728,"score_spread":0.2587544890266084,"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."}}