{"id":"W4390599902","doi":"10.5376/cmb.2024.14.0001","title":"Genomic Prediction and its Association with the Development of Dementia disease in the Elderly","year":2024,"lang":"en","type":"article","venue":"Computational Molecular Biology","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dementia; Genomics; Disease; Genome-wide association study; Data science; Genetic association; Association (psychology); Personalized medicine; Bioinformatics; Computer science; Computational biology; Medicine; Psychology; Artificial intelligence; Biology; Genome; Single-nucleotide polymorphism; Genetics; Gene; Pathology; Genotype","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.002188526,0.0002002955,0.0002945634,0.001417881,0.0002685164,0.0007547878,0.0002204966,0.0004734651,0.001152029],"category_scores_gemma":[0.01593044,0.000101861,0.0005462414,0.002183184,0.0004216585,0.0005727215,0.0004952609,0.0005642136,0.0001230656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002579154,"about_ca_system_score_gemma":0.0004880918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003920601,"about_ca_topic_score_gemma":0.005517109,"domain_scores_codex":[0.9984702,0.001001005,0.0001228105,0.0002016165,0.0001562513,0.0000480331],"domain_scores_gemma":[0.9919581,0.006046037,0.001264945,0.0002316308,0.0003950036,0.0001042885],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003783731,0.00005765109,0.8448004,0.0009835747,0.001299454,0.0004782049,0.0004655166,0.002012763,0.0004571212,0.00284599,0.002999579,0.1432215],"study_design_scores_gemma":[0.00004188064,0.0002765378,0.9510522,0.001640714,0.002441646,0.001702669,0.0009005475,0.007304553,0.0009948617,0.02247913,0.01111421,0.00005095646],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.807658,0.1541652,0.0142752,0.01389166,0.0003517448,0.00003829059,0.003438518,0.00007251123,0.006108854],"genre_scores_gemma":[0.9728645,0.02120457,0.004275916,0.0005793771,0.0001309173,0.00001697998,0.0006118806,0.000006037446,0.0003098799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003920601,"threshold_uncertainty_score":0.01157421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005026148412380322,"score_gpt":0.2242088753370169,"score_spread":0.2191827269246366,"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."}}