{"id":"W3138286502","doi":"10.1371/journal.pone.0246157","title":"The nature of genetic and environmental susceptibility to multiple sclerosis","year":2021,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Genetic predisposition; Genetics; Human leukocyte antigen; Locus (genetics); Biology; Haplotype; Population; Genetic epidemiology; Major histocompatibility complex; Multiple sclerosis; Epidemiology; Demography; Evolutionary biology; Allele; Medicine; Environmental health; Immunology; Gene","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005125278,0.0001753305,0.0001741478,0.0004812241,0.0002173862,0.0004273132,0.0002349043,0.0002703044,0.00161086],"category_scores_gemma":[0.002327714,0.00005800592,0.0001199835,0.000528969,0.0008615354,0.0002150517,0.0002965576,0.0002328358,0.000134714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005907569,"about_ca_system_score_gemma":0.0009697367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01301293,"about_ca_topic_score_gemma":0.01354678,"domain_scores_codex":[0.9995647,0.0001201285,0.00002123721,0.00007932191,0.0001512385,0.00006338718],"domain_scores_gemma":[0.9994764,0.0001737097,0.000197528,0.00002229463,0.00006600089,0.00006408749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001893089,0.0000776845,0.95636,0.0001079485,0.0001771204,0.0004497574,0.0002971718,0.002349959,0.005863179,0.005876606,0.0003029579,0.02794828],"study_design_scores_gemma":[0.00001067821,0.0000768554,0.9886715,0.0000479804,0.00006658357,0.001446813,0.0003145757,0.001743653,0.0007514246,0.004611026,0.002251657,0.000007213499],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853373,0.003386351,0.002633014,0.001094801,0.00001255756,0.00003019115,0.0006014153,0.00001521704,0.006889105],"genre_scores_gemma":[0.9979417,0.0006955827,0.0006562576,0.00006020162,0.00002104441,0.000006420618,0.000143031,0.000001836365,0.0004739033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01301293,"threshold_uncertainty_score":0.02587432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07145760812810537,"score_gpt":0.2673060019201626,"score_spread":0.1958483937920572,"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."}}