{"id":"W4255385126","doi":"10.3410/f.734240725.793553189","title":"Faculty Opinions recommendation of Uncovering the heterogeneity and temporal complexity of neurodegenerative diseases with Subtype and Stage Inference.","year":2018,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"EPSRC Centre for Doctoral Training in Medical Imaging; Economic and Social Research Council; Engineering and Physical Sciences Research Council; National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; Genentech; National Institutes of Health; Associazione Italiana Ricerca Alzheimer; IXICO; H. Lundbeck A/S; Servier; University College London Hospitals NHS Foundation Trust; Eisai; Wolfson Foundation; Brain Research Trust; Weston Brain Institute; National Institute on Aging; National Institute for Health and Care Research; Northern California Institute for Research and Education; Pfizer; Biogen; BioClinica; F. Hoffmann-La Roche; Alzheimer's Society; Wellcome Trust; University of Southern California; Novartis Pharmaceuticals Corporation; U.S. Department of Defense; Eli Lilly and Company; Bristol-Myers Squibb; European Commission; Alzheimer's Disease Neuroimaging Initiative; Medical Research Council; Meso Scale Diagnostics; Alzheimer's Association; Michael J. Fox Foundation for Parkinson's Research; Foundation for the National Institutes of Health","keywords":"Disease; Inference; Neurodegeneration; Frontotemporal dementia; Precision medicine; Phenotype; Genetic heterogeneity; Biology; Genotype; Dementia; Neuroscience; Computational biology; Bioinformatics; Medicine; Genetics; Pathology; Computer science; Artificial intelligence; Gene","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":[0.002454708,0.001045802,0.0008050531,0.002374616,0.0006267716,0.002422023,0.001832133,0.001456294,0.1182105],"category_scores_gemma":[0.0141783,0.0004583424,0.001245869,0.003300673,0.0003501506,0.001296817,0.001620343,0.001635555,0.09266212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001103238,"about_ca_system_score_gemma":0.002965141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0154856,"about_ca_topic_score_gemma":0.04900698,"domain_scores_codex":[0.9988275,0.000191604,0.0001134279,0.000372061,0.0003645905,0.000130774],"domain_scores_gemma":[0.9950204,0.001413839,0.0004279274,0.00136938,0.001188906,0.0005795624],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009513852,0.00003267612,0.005423288,0.0003451815,0.00006255434,0.00003080236,0.00001771406,0.0002768975,0.0002400456,0.000819954,0.982183,0.01047281],"study_design_scores_gemma":[0.0001866349,0.00001544026,0.01021064,0.0001871546,0.00004125703,0.00007776917,0.00004385426,0.001225399,0.0006897267,0.002435543,0.9848653,0.00002129191],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007267737,0.0001599836,0.0008335784,0.0007928531,0.0001697286,0.00003887223,0.9910595,0.001241819,0.004976936],"genre_scores_gemma":[0.002965355,0.0001863162,0.002321725,0.0003626949,0.00005950744,0.00008523624,0.9884543,0.0002563923,0.005308483],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1182105,"threshold_uncertainty_score":0.3954534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03320481738188064,"score_gpt":0.3295040110733016,"score_spread":0.2962991936914209,"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."}}