{"id":"W3206599837","doi":"10.1109/cibcb49929.2021.9562876","title":"Identification of Genes Associated with Alzheimer's Disease using Evolutionary Computation","year":2021,"lang":"en","type":"article","venue":"","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Betweenness centrality; Robustness (evolution); Ranking (information retrieval); Centrality; Computer science; Identification (biology); Disease; Gene; Set (abstract data type); Artificial intelligence; Machine learning; Computational biology; Data mining; Biology; Mathematics; Genetics; Statistics; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001279181,0.0009904989,0.0007317411,0.002120539,0.0005408162,0.0008169712,0.0007040747,0.001067601,0.0011084],"category_scores_gemma":[0.004383939,0.0002707787,0.0007521298,0.001247804,0.0004561982,0.0003269098,0.0005413964,0.0005210283,0.0001446637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006123439,"about_ca_system_score_gemma":0.001091267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004538182,"about_ca_topic_score_gemma":0.003953178,"domain_scores_codex":[0.999694,0.0001301186,0.00001226247,0.00007454494,0.00005124943,0.00003789166],"domain_scores_gemma":[0.9989207,0.000798902,0.00008888074,0.00002977896,0.0001199054,0.00004197404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002364927,0.0002407633,0.01384903,0.00007492676,0.000180467,0.0002298466,0.0001083869,0.8614566,0.004911868,0.002503414,0.0006889506,0.1155193],"study_design_scores_gemma":[0.00001955206,0.00004873653,0.001546904,0.000008230126,0.00002203609,0.00003557749,0.00002212723,0.9961975,0.000491398,0.001460717,0.0001418699,0.000005442375],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5589753,0.0004272917,0.4361366,0.001004139,0.00005878425,0.0002241725,0.0002278072,0.0004845272,0.002461369],"genre_scores_gemma":[0.6881999,0.0001387354,0.3094171,0.0001715524,0.0000359812,0.0002079121,0.0003650412,0.0000493761,0.001414387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004538182,"threshold_uncertainty_score":0.009023547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01445234036323017,"score_gpt":0.2462493625835481,"score_spread":0.2317970222203179,"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."}}