{"id":"W6945282932","doi":"10.25358/openscience-7755","title":"Altered whole-brain white matter networks in preclinical Alzheimer's disease","year":2015,"lang":"en","type":"article","venue":"Gutenberg Open Science","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Johnson and Johnson Pharmaceutical Research and Development; Canadian Institutes of Health Research; National Institutes of Health; Genentech; IXICO; Servier; Eisai; Janssen Alzheimer Immunotherapy Research And Development; Northern California Institute for Research and Education; Pfizer; Novartis Pharmaceuticals Corporation; University of Southern California; Synarc; U.S. Department of Defense; Meso Scale Diagnostics; University of California, San Diego; BioClinica; Bristol-Myers Squibb; Eli Lilly and Company; Medpace; Biogen","keywords":"Neurodegeneration; White matter; Diffusion MRI; Neuroimaging; Disease; Hippocampal formation; Tractography; Human brain","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":[0.0003175842,0.0003927849,0.0003165501,0.0008095538,0.0002593901,0.0005465142,0.0002623126,0.0004309028,0.001937191],"category_scores_gemma":[0.0007410337,0.0002093409,0.0002009863,0.0003822515,0.0003723463,0.0008119023,0.0004277374,0.0004127408,0.000201684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003379058,"about_ca_system_score_gemma":0.0002223148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001955606,"about_ca_topic_score_gemma":0.002973484,"domain_scores_codex":[0.9999183,0.00001763059,0.000006313966,0.00002715029,0.00001204345,0.00001847617],"domain_scores_gemma":[0.9997845,0.00003145037,0.00009677967,0.00002337523,0.00002272545,0.0000411633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01086263,0.0008311337,0.4531599,0.0006147707,0.002226892,0.002823195,0.001183741,0.006085923,0.3852744,0.005676917,0.003983878,0.1272766],"study_design_scores_gemma":[0.00002647405,0.0002715605,0.9875188,0.00002214757,0.0001494644,0.0005734261,0.0001402276,0.001512504,0.004287712,0.004909573,0.0005765515,0.00001155351],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959083,0.001299735,0.0008499813,0.0002544615,0.00002082788,0.000006246565,0.0003858084,0.00002760917,0.001247173],"genre_scores_gemma":[0.9983501,0.0005562144,0.0003936131,0.00005177603,0.00001503714,0.000008682293,0.0002347625,0.000006864887,0.0003830153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001955606,"threshold_uncertainty_score":0.006480515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1240255155668312,"score_gpt":0.4226234206607007,"score_spread":0.2985979050938695,"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."}}