{"id":"W2991808555","doi":"10.7554/elife.49298","title":"Differences in topological progression profile among neurodegenerative diseases from imaging data","year":2019,"lang":"en","type":"article","venue":"eLife","topic":"Topological and Geometric Data Analysis","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Canadian Institutes of Health Research; Horizon 2020 Framework Programme; National Institutes of Health; Genentech; IXICO; H. Lundbeck A/S; Servier; Eisai; Agence Nationale de la Recherche; Weston Brain Institute; National Institute on Aging; National Institute for Health and Care Research; Northern California Institute for Research and Education; BioClinica; Biogen; Pfizer; Novartis Pharmaceuticals Corporation; Alzheimer's Association; Université Côte d’Azur; Eli Lilly and Company; Bristol-Myers Squibb; University College London Hospitals NHS Foundation Trust; Janssen Alzheimer Immunotherapy Research And Development; European Commission; Alzheimer's Disease Neuroimaging Initiative; Meso Scale Diagnostics; Michael J. Fox Foundation for Parkinson's Research","keywords":"Cohort; Disease; Neurodegeneration; Atrophy; Topological data analysis; Topology (electrical circuits); Biology; Neuroscience; Medicine; Pathology; Computer science; Mathematics; Algorithm","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001371209,0.0001234942,0.0002373727,0.0001200713,0.00005992642,0.0001685271,0.001767841,0.00003575404,0.0003661297],"category_scores_gemma":[0.0001977931,0.00007640959,0.00003546368,0.0007250144,0.00008314211,0.0007526274,0.001662885,0.0001350159,0.0001542804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001097299,"about_ca_system_score_gemma":0.0000231472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002524086,"about_ca_topic_score_gemma":0.00002935416,"domain_scores_codex":[0.9983113,0.0001477384,0.0002041699,0.0007462004,0.0003485194,0.0002420739],"domain_scores_gemma":[0.9986566,0.0002052335,0.00007916192,0.0009302684,0.00002767192,0.0001010382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000004033665,0.0001080248,0.9761261,0.000001479442,0.000006531308,0.00002836742,0.00003972026,0.000004128814,0.00005442971,0.00116916,0.0007250909,0.02173293],"study_design_scores_gemma":[0.0001624493,0.00003804079,0.9139234,0.00001317267,0.000006489152,4.415024e-7,0.00004102584,0.0844427,0.0002227938,0.000585316,0.0004278879,0.0001362426],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860805,0.000723863,0.01123708,0.0009315831,0.0002293446,0.0001619919,0.0001610939,0.0001035751,0.000370956],"genre_scores_gemma":[0.9946914,0.000034446,0.004568086,0.0002780404,0.00007119936,0.00001254892,0.0002049133,0.000002597645,0.000136777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08443857,"threshold_uncertainty_score":0.4008863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03025704556016411,"score_gpt":0.2816159205966289,"score_spread":0.2513588750364648,"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."}}