{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000269414,0.00006550195,0.00005098702,0.00002669629,0.00004828643,0.00001866236,0.00008714943,0.00005259849,0.000001608942],"category_scores_gemma":[0.00001110879,0.00003925416,0.00002059455,0.00006239423,0.00002882551,0.000002210384,0.0000388011,0.00006058374,0.000001627059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001245783,"about_ca_system_score_gemma":0.0001049946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.501255e-7,"about_ca_topic_score_gemma":0.000008149884,"domain_scores_codex":[0.9995125,0.00005872707,0.0001505283,0.0001206843,0.00006675162,0.00009083113],"domain_scores_gemma":[0.9997981,0.00003637928,0.00004932082,0.0000624396,0.0000367239,0.00001704895],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0006164168,0.000333107,0.08436674,0.0005678155,0.003111719,0.00002775195,0.006997968,0.1506685,0.4357432,0.2108056,0.00385994,0.1029013],"study_design_scores_gemma":[0.003507349,0.002358641,0.5583922,0.0002413997,0.0005814108,0.00007662181,0.0008776032,0.2523034,0.008622382,0.121999,0.049822,0.00121798],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8455726,0.003180011,0.1503125,0.0006338838,0.00004816582,0.0001633221,0.00001674984,0.000003350806,0.00006939699],"genre_scores_gemma":[0.9984092,0.00001321999,0.001102467,0.0001704257,0.00003395649,0.0000227678,0.000231758,0.000005024943,0.00001118878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4740254,"threshold_uncertainty_score":0.1600738,"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."}}