{"id":"W4312086109","doi":"10.1002/alz.069431","title":"Multi‐omics integration via similarity network fusion to detect subtypes of aging","year":2022,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Addiction and Mental Health; University of Toronto","funders":"","keywords":"Subtyping; Computational biology; Histone; Biology; DNA methylation; Proteomics; Bioinformatics; Genetics; Gene; Computer science; Gene expression","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001801295,0.0009448918,0.0008377,0.005469537,0.0004965056,0.0008945994,0.0005150747,0.0005985998,0.0009763402],"category_scores_gemma":[0.003039492,0.0002459429,0.001999722,0.002918461,0.0003594779,0.0008648575,0.001319017,0.0005132041,0.0002637297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007722806,"about_ca_system_score_gemma":0.000692007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004434455,"about_ca_topic_score_gemma":0.004233133,"domain_scores_codex":[0.9992249,0.0002579433,0.00004776543,0.0002267938,0.0001514785,0.000091057],"domain_scores_gemma":[0.9989153,0.0004205064,0.0002215043,0.0001178801,0.000235688,0.00008917395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002102177,0.0008808664,0.2565342,0.0007478982,0.003335021,0.001027025,0.001106281,0.1510254,0.1194061,0.00651136,0.004531727,0.4527919],"study_design_scores_gemma":[0.00003192598,0.0002987076,0.09815293,0.00003876162,0.0003994218,0.0003025217,0.0003140211,0.8754575,0.009601668,0.01301306,0.002333021,0.00005642511],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5991008,0.001310835,0.3918104,0.0003724796,0.0000541167,0.0002715344,0.003832307,0.00130464,0.001942902],"genre_scores_gemma":[0.8907585,0.0002516119,0.1039449,0.00006067595,0.00004936972,0.0001716641,0.004252712,0.00004657837,0.0004639296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005469537,"threshold_uncertainty_score":0.009526312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01368568824035818,"score_gpt":0.2423446731154499,"score_spread":0.2286589848750917,"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."}}