{"id":"W1976900720","doi":"10.1371/journal.pone.0105542","title":"Predicting Progression of Alzheimer’s Disease Using Ordinal Regression","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Menzies Centre for Australian Studies, King's College London, University of London; University of California, San Diego; National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; University of California, Los Angeles; National Institutes of Health; IXICO; Innovative Medicines Initiative; Stockholms Läns Landsting; Servier; Kuopion Yliopistollinen Sairaala; Karolinska Institutet; King's College London; National Institute on Aging; National Institute for Health and Care Research; Northern California Institute for Research and Education; Eisai; Genentech; University of Oxford; Swedish Brain Power; Synarc; South London and Maudsley NHS Foundation Trust; Pfizer; Biogen; BioClinica; Versus Arthritis; F. Hoffmann-La Roche; European Federation of Pharmaceutical Industries and Associations; Eli Lilly and Company; Itä-Suomen Yliopisto; Medpace; Bristol-Myers Squibb; European Commission; Meso Scale Diagnostics; Alzheimer's Disease Neuroimaging Initiative; Novartis Pharmaceuticals Corporation; Wellcome Trust; Alzheimer's Association; Foundation for the National Institutes of Health","keywords":"Ordinal regression; Dementia; Regression; Linear regression; Medicine; Regression analysis; Neuroimaging; Alzheimer's Disease Neuroimaging Initiative; Multivariate statistics; Cohort; Internal medicine; Statistics; Artificial intelligence; Disease; Mathematics; Computer science; Psychiatry","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":[0.005165415,0.001103868,0.0008996264,0.002246585,0.0002866551,0.001607856,0.001016494,0.0005770461,0.001105348],"category_scores_gemma":[0.01328658,0.0002636445,0.001115751,0.001268359,0.0003733115,0.001082459,0.001116223,0.001804867,0.0005780504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004579369,"about_ca_system_score_gemma":0.0006475007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005156887,"about_ca_topic_score_gemma":0.005326341,"domain_scores_codex":[0.997886,0.00112428,0.0001515045,0.0004228058,0.0002229962,0.0001922995],"domain_scores_gemma":[0.9931877,0.003980703,0.0011498,0.0005711808,0.0008186296,0.0002921407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000949781,0.0005228154,0.5888084,0.0001893235,0.0006599904,0.0004006182,0.0002551033,0.2360526,0.002990661,0.002896659,0.004320928,0.1619533],"study_design_scores_gemma":[0.00004016604,0.0002400271,0.04909373,0.00004088878,0.00009282066,0.0001645195,0.00007510347,0.9405922,0.001284323,0.006797132,0.001528588,0.00005032783],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6100653,0.002356344,0.3771135,0.001368194,0.0001822274,0.0001839725,0.005261971,0.001278242,0.002190167],"genre_scores_gemma":[0.9544361,0.0004036111,0.04098994,0.0001170652,0.0001120385,0.00009669555,0.002898638,0.00005140416,0.0008943934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005165415,"threshold_uncertainty_score":0.02731764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09405868895266997,"score_gpt":0.3568265868925205,"score_spread":0.2627678979398506,"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."}}