{"id":"W1972311801","doi":"10.1109/tnb.2015.2391134","title":"Detecting SNP Combinations Discriminating Human Populations From HapMap Data","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on NanoBioscience","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"International HapMap Project; Notation; Single-nucleotide polymorphism; Fixation index; Population; SNP; Computer science; Biology; Computational biology; Genetics; Mathematics; Gene; Genotype; Genetic variation; Arithmetic","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00119831,0.0004330373,0.0005115072,0.002187117,0.0003654876,0.0004394858,0.000311671,0.000407984,0.0005665751],"category_scores_gemma":[0.003049196,0.0002397788,0.000453316,0.001704284,0.0002123038,0.0004020392,0.0005149237,0.0003226727,0.0002014161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001264801,"about_ca_system_score_gemma":0.0002768343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00157946,"about_ca_topic_score_gemma":0.002656841,"domain_scores_codex":[0.998997,0.0003261364,0.00008339085,0.0003041411,0.0002174241,0.00007187555],"domain_scores_gemma":[0.9988481,0.0006439152,0.000168532,0.0001379497,0.0001387206,0.00006285192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001385396,0.0002967855,0.5714778,0.0003001027,0.001128639,0.002138965,0.0007226691,0.03445555,0.1342294,0.003589393,0.004393468,0.2458817],"study_design_scores_gemma":[0.0001200516,0.0002279122,0.5725822,0.00003133654,0.0005250659,0.001555351,0.0006054559,0.3776184,0.0346055,0.007155004,0.00487359,0.0001002835],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9258221,0.000317832,0.07139587,0.00006644341,0.00001986778,0.00006065687,0.001150375,0.0003347782,0.000831913],"genre_scores_gemma":[0.927044,0.0001166739,0.06965004,0.00003221652,0.00001660135,0.00007031302,0.002796238,0.00003030026,0.0002435961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002187117,"threshold_uncertainty_score":0.006337345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1596930321092834,"score_gpt":0.3411452562786716,"score_spread":0.1814522241693882,"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."}}