{"id":"W2122705486","doi":"10.1002/gepi.20220","title":"Optimal selection of markers for validation or replication from genome‐wide association studies","year":2007,"lang":"en","type":"article","venue":"Genetic Epidemiology","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"Genome Canada","keywords":"Genotyping; Single-nucleotide polymorphism; Candidate gene; Computational biology; Biology; SNP; Selection (genetic algorithm); Genetics; Genome-wide association study; Genome; Gene; Genotype; Computer science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1139121,0.001785407,0.003984487,0.002861594,0.002110895,0.002814075,0.003488347,0.002542031,0.001588397],"category_scores_gemma":[0.2238921,0.00162627,0.003257581,0.003635228,0.002017179,0.00213257,0.003788368,0.002551228,0.0008696297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009577729,"about_ca_system_score_gemma":0.004560476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004104979,"about_ca_topic_score_gemma":0.006314948,"domain_scores_codex":[0.8993127,0.08110432,0.005933304,0.007396245,0.004799074,0.001454317],"domain_scores_gemma":[0.8557701,0.09525076,0.006882846,0.0318309,0.008592405,0.001673104],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0109707,0.001248942,0.2212297,0.002019277,0.007449945,0.003887484,0.003194797,0.09180249,0.04949816,0.02631142,0.01214189,0.5702452],"study_design_scores_gemma":[0.006930024,0.003772028,0.2914393,0.001585293,0.007951735,0.003906293,0.001604762,0.4341379,0.05002141,0.1695997,0.02808787,0.0009636992],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1462314,0.00279734,0.8420919,0.001616725,0.0002984219,0.002627324,0.0009598624,0.000896067,0.00248101],"genre_scores_gemma":[0.4215989,0.0005923325,0.5715128,0.0007920394,0.0001665451,0.002204614,0.002182029,0.0002328356,0.0007179384],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8860879,"threshold_uncertainty_score":0.6024321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04717341177972235,"score_gpt":0.3538177349263996,"score_spread":0.3066443231466772,"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."}}