{"id":"W2336300796","doi":"10.1007/s10048-016-0481-5","title":"Genetic fitness and selection intensity in a population affected with high-incidence spinocerebellar ataxia type 1","year":2016,"lang":"en","type":"article","venue":"Neurogenetics","topic":"Genetic Neurodegenerative Diseases","field":"Neuroscience","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"National Institute of Neurological Disorders and Stroke; National Institutes of Health; Ministry of Education and Science of the Russian Federation","keywords":"Spinocerebellar ataxia; Biology; Genetics; Demography; Population; Microevolution; Fertility; Cohort; Gene; Internal medicine; Medicine","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":[0.00004459244,0.000235499,0.0002033941,0.0001419761,0.0001002261,0.00004551668,0.0001611482,0.00006493965,0.00002309424],"category_scores_gemma":[0.0003795069,0.0001763937,0.00002051417,0.0006003141,0.0001390818,0.0000857667,0.00009619926,0.00009971137,0.00002056125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004194682,"about_ca_system_score_gemma":0.00005244082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008488795,"about_ca_topic_score_gemma":0.0002528329,"domain_scores_codex":[0.9982111,0.0001992642,0.0002284791,0.0007234795,0.0003120339,0.0003256416],"domain_scores_gemma":[0.9992838,0.00009888543,0.0001068237,0.0002537804,0.0001245728,0.0001321524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00005779413,0.0000392297,0.3688267,0.00001050797,0.000001443553,0.00002590664,0.00001645506,0.0003761389,0.6295887,0.00003033172,0.00001802831,0.00100879],"study_design_scores_gemma":[0.0003504446,0.0002594119,0.5563152,0.00002076921,0.00001220326,0.00006390678,0.00000138412,0.0003575603,0.4423795,0.00009055255,0.000019398,0.0001296918],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988516,0.00004844335,0.0003138797,0.0001399107,0.0001547469,0.000397296,0.00001087039,0.00007478905,0.000008495734],"genre_scores_gemma":[0.998614,0.0002082589,0.0006014717,0.0004160567,0.00005083389,0.00001548467,0.000001413054,0.00004184163,0.00005066161],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1874885,"threshold_uncertainty_score":0.7193127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01718768550940319,"score_gpt":0.2386437156435661,"score_spread":0.2214560301341629,"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."}}