{"id":"W3204358599","doi":"10.1002/alz.12363","title":"Personalized prediction of progression in pre‐dementia patients based on individual biomarker profile: A development and validation study","year":2021,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Aging; Canadian Institutes of Health Research; Medical Research Council; Innovationsfonden","keywords":"Biomarker; Dementia; Medicine; Psychology; Oncology; Bioinformatics; Computational biology; Internal medicine; Disease; Biology; Genetics","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":[0.0126399,0.0009595718,0.0006715437,0.0004720209,0.0002934419,0.0008391044,0.0006676784,0.0007767869,0.0007503189],"category_scores_gemma":[0.0168753,0.0003156069,0.0009820168,0.0004352756,0.0004271377,0.0005663612,0.0006548773,0.0008721972,0.0003642222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004893643,"about_ca_system_score_gemma":0.001213813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001579261,"about_ca_topic_score_gemma":0.001092998,"domain_scores_codex":[0.9983675,0.001060575,0.00006928598,0.0002378919,0.0001910744,0.00007374765],"domain_scores_gemma":[0.9922964,0.004019419,0.0008469597,0.001407751,0.001067499,0.0003619583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01769985,0.007998302,0.7461647,0.0003638781,0.002492821,0.0003859268,0.0008039018,0.03801933,0.006636911,0.000840648,0.002318111,0.1762756],"study_design_scores_gemma":[0.004813715,0.03691062,0.6468901,0.0002556833,0.002471949,0.001114976,0.0003203359,0.2887672,0.01148895,0.002627385,0.00412342,0.0002157088],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846222,0.000447613,0.0129842,0.0001005113,0.0000189101,0.0005997773,0.0005759218,0.00009877953,0.0005520862],"genre_scores_gemma":[0.9870548,0.0002089664,0.01090208,0.00006807978,0.0000131571,0.0005032783,0.000999484,0.00001239886,0.000237702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0126399,"threshold_uncertainty_score":0.06684697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04410999110788189,"score_gpt":0.33173377453794,"score_spread":0.2876237834300581,"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."}}