{"id":"W2952142344","doi":"10.1016/j.euroneuro.2017.08.384","title":"COMPLEX SPATIO-TEMPORAL DISTRIBUTION AND GENOGEOGRAPHIC AFFINITY OF MITOCHONDRIAL DNA HAPLOGROUPS IN 24,216 DANES","year":2019,"lang":"en","type":"article","venue":"European Neuropsychopharmacology","topic":"Metabolism and Genetic Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Haplogroup; Mitochondrial DNA; Single-nucleotide polymorphism; Haplotype; Biobank; Evolutionary biology; Genetics; Genotyping; Biology; Danish; Population; Allele; Genotype; Demography; Gene","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":[0.000400072,0.0001562735,0.0003683919,0.001270273,0.0007442527,0.0007458484,0.0003269381,0.0002808738,0.001671607],"category_scores_gemma":[0.001123286,0.0002406119,0.000249924,0.001839225,0.0005188878,0.0003348333,0.0004885773,0.0002222455,0.0002628804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004000363,"about_ca_system_score_gemma":0.0002834031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01662162,"about_ca_topic_score_gemma":0.0374733,"domain_scores_codex":[0.9995748,0.0001207981,0.00004910561,0.0001445826,0.00003327376,0.00007747737],"domain_scores_gemma":[0.9994889,0.0001546109,0.0001388213,0.00007629736,0.00006580462,0.0000755314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002140002,0.00002615914,0.9922404,0.00001553444,0.00007473725,0.0002494532,0.002183891,0.00008989441,0.002061157,0.0001177932,0.0000593111,0.002667619],"study_design_scores_gemma":[0.000003609413,0.00002532471,0.9972363,0.000007437235,0.00002378231,0.0002713997,0.001787106,0.0001040196,0.00009372572,0.00007984709,0.0003624647,0.000004914803],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999615,0.00008573968,0.00003799751,0.000009078186,0.000001026267,0.000001357447,0.000131317,7.98375e-7,0.0001176034],"genre_scores_gemma":[0.9992865,0.00009331238,0.00005807202,0.000004694031,0.000001464372,0.000004959743,0.0001935064,0.000001552732,0.0003560326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01662162,"threshold_uncertainty_score":0.03304976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01182921551478007,"score_gpt":0.2514619005034022,"score_spread":0.2396326849886221,"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."}}