{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003675547,0.0001462173,0.0001083922,0.00008218661,0.0006240238,0.00008101859,0.0006415806,0.0001004929,0.00002606782],"category_scores_gemma":[0.00007851399,0.0001445937,0.00005041642,0.0002268367,0.0001053381,0.00003581014,0.00001465705,0.0001008069,0.00002468823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002842403,"about_ca_system_score_gemma":0.00008495688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003166011,"about_ca_topic_score_gemma":0.0004646005,"domain_scores_codex":[0.9986532,0.00009252226,0.0002219427,0.0005462865,0.0002535282,0.0002325326],"domain_scores_gemma":[0.9988325,0.00002777537,0.00009007783,0.0008273499,0.00008454927,0.0001377389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000007807198,0.000132511,0.00003769177,0.000002055835,0.000008235,9.487756e-7,0.000100897,0.0003626784,0.989506,0.0001487764,0.0001158518,0.009576526],"study_design_scores_gemma":[0.0004156411,0.0002137384,0.0001968226,0.0000287296,0.00003185844,0.000006360267,0.0003555607,0.001514797,0.9947742,0.001120425,0.001086225,0.0002557051],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.359049,0.00004867979,0.6390103,0.0002033534,0.0007344274,0.0002000582,0.0002008618,0.00004529145,0.0005080249],"genre_scores_gemma":[0.9903216,0.000005615032,0.008865294,0.0001082709,0.00006521288,0.00003099813,0.00007850552,0.0000179611,0.0005065832],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6312725,"threshold_uncertainty_score":0.5896358,"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."}}