{"id":"W2140586536","doi":"10.1002/ana.20871","title":"Differential twin concordance for multiple sclerosis by latitude of birthplace","year":2006,"lang":"en","type":"article","venue":"Annals of Neurology","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":107,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Environmental Health Sciences; National Institute of Neurological Disorders and Stroke; National Cancer Institute","keywords":"Concordance; Zygosity; Demography; Multiple sclerosis; Medicine; Confidence interval; Twin study; Monozygotic twin; Population; Internal medicine; Biology; Heritability; Genetics; Immunology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001326751,0.0001452127,0.0005587091,0.0001069169,0.0000459416,0.000003355187,0.0001399785,0.00009472368,0.00005752044],"category_scores_gemma":[0.0006206453,0.0001276645,0.0001686604,0.0001235885,0.0003434916,0.0000387324,0.00008591526,0.000134961,0.000003482444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000337084,"about_ca_system_score_gemma":0.00003020673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003965055,"about_ca_topic_score_gemma":0.0001239321,"domain_scores_codex":[0.9985858,0.0000782049,0.0004281269,0.0002838251,0.000250473,0.0003735471],"domain_scores_gemma":[0.9984043,0.0007314142,0.0001925294,0.0002696331,0.000332558,0.00006954864],"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":[0.00228434,0.0005712227,0.1369838,0.0002393609,0.0001162015,0.000002406802,0.0000427844,0.00005180792,0.7830431,0.0001272561,0.07444035,0.002097382],"study_design_scores_gemma":[0.004029945,0.00228472,0.6650446,0.00004610697,0.00003177579,0.000002727377,0.000007936911,0.001502302,0.3117726,0.0001082714,0.01505309,0.0001158948],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992345,0.0004307233,0.0007063708,0.005366947,0.00009334963,0.000572156,0.0002404662,0.00002546218,0.0002195237],"genre_scores_gemma":[0.9979931,0.0005281316,0.0003435832,0.0006856945,0.0001141593,0.00006551163,0.00003903955,0.00002254979,0.0002082722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5280609,"threshold_uncertainty_score":0.5206008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1185854854307386,"score_gpt":0.3462532302366905,"score_spread":0.2276677448059519,"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."}}