{"id":"W2004403098","doi":"10.1109/bibe.2014.38","title":"Disease-Gene Association Using a Genetic Algorithm","year":2014,"lang":"en","type":"article","venue":"","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Disease; Gene; Computer science; Genetic association; Genetic algorithm; Computational biology; Biology; Genetics; Genotype; Machine learning; Single-nucleotide polymorphism; 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":[0.003596851,0.001053837,0.001706652,0.002505727,0.0009629467,0.001403335,0.00213159,0.002428461,0.003341434],"category_scores_gemma":[0.01106118,0.00059004,0.001329388,0.002339489,0.001305719,0.0009133858,0.001585732,0.001485663,0.0006769306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001293747,"about_ca_system_score_gemma":0.003136226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008047008,"about_ca_topic_score_gemma":0.006148744,"domain_scores_codex":[0.998398,0.0008411154,0.00007797243,0.0003053533,0.0002793472,0.00009821132],"domain_scores_gemma":[0.9947641,0.004322523,0.0001764616,0.0001969941,0.0004451229,0.00009477395],"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":[0.0001269615,0.0001525738,0.003043771,0.00007196875,0.0001826478,0.0001769899,0.00005298128,0.8794417,0.0006415074,0.02017108,0.001715108,0.09422264],"study_design_scores_gemma":[0.00003521844,0.0000153273,0.0001327661,0.000005784438,0.00001862232,0.0000375488,0.000005256093,0.9880007,0.0001239779,0.01127053,0.000349866,0.000004426125],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01501934,0.0002297771,0.9813111,0.0005990565,0.00005567126,0.0001531031,0.0001062259,0.000807144,0.001718488],"genre_scores_gemma":[0.2137189,0.0002535171,0.7824052,0.0004299138,0.00009103736,0.0005128831,0.0004275261,0.00009803305,0.002063028],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008047008,"threshold_uncertainty_score":0.01902223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005704862436680947,"score_gpt":0.2107056302654474,"score_spread":0.2050007678287664,"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."}}