{"id":"W2138496671","doi":"10.1186/1471-2156-6-s1-s71","title":"A comparison of five methods for selecting tagging single-nucleotide polymorphisms","year":2005,"lang":"en","type":"article","venue":"BMC Genetics","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; St. Paul's Hospital; University of British Columbia","funders":"Institute of Population and Public Health; Canadian Institutes of Health Research; Mitacs; Michael Smith Health Research BC; Genome Canada","keywords":"Single-nucleotide polymorphism; Genetics; Computational biology; Biology; Genotype; Gene","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":[0.06702488,0.001937861,0.001992105,0.00500772,0.001147987,0.001905585,0.00307212,0.0024828,0.001883154],"category_scores_gemma":[0.1158649,0.001208965,0.003020639,0.002797478,0.00135291,0.002304329,0.002270862,0.001802478,0.0005366906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001788056,"about_ca_system_score_gemma":0.002087304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004675614,"about_ca_topic_score_gemma":0.006503653,"domain_scores_codex":[0.9595138,0.0283891,0.003090958,0.003265203,0.00505256,0.0006883467],"domain_scores_gemma":[0.8179503,0.161265,0.003925371,0.007501354,0.008314778,0.001043228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01462179,0.001562929,0.1028663,0.003837797,0.009622075,0.0002838413,0.001875291,0.08207843,0.01387254,0.01415002,0.004610283,0.7506187],"study_design_scores_gemma":[0.006584613,0.007858352,0.1155451,0.001025442,0.004510912,0.001460082,0.001153888,0.775996,0.03415688,0.03836366,0.01233578,0.001009307],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2397539,0.004614321,0.7474649,0.000714372,0.0003453986,0.001858464,0.0008475158,0.001768713,0.002632502],"genre_scores_gemma":[0.2739993,0.001836543,0.7180524,0.0003315966,0.00008951931,0.00205288,0.001723791,0.0005020728,0.001411949],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.06702488,"threshold_uncertainty_score":0.3544657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0664793123984236,"score_gpt":0.4105010270595287,"score_spread":0.3440217146611051,"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."}}