{"id":"W3186019542","doi":"10.1159/000516767","title":"Modeling Manifest Huntington’s Disease Prevalence Using Diagnosed Incidence and Survival Time","year":2021,"lang":"en","type":"article","venue":"Neuroepidemiology","topic":"Genetic Neurodegenerative Diseases","field":"Neuroscience","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"F. Hoffmann-La Roche; CHDI Foundation","keywords":"Medicine; Epidemiology; Incidence (geometry); Population; Demography; Disease; Huntington's disease; Pediatrics; Internal medicine; Environmental health","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":[0.001690587,0.0006149169,0.0005534962,0.001225558,0.0002905719,0.001127939,0.001152674,0.0009362989,0.002297733],"category_scores_gemma":[0.00642926,0.0004466763,0.001213522,0.0008312212,0.0003335175,0.0007005519,0.0005450384,0.0005383303,0.0002933608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001940193,"about_ca_system_score_gemma":0.001813635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05931213,"about_ca_topic_score_gemma":0.03630732,"domain_scores_codex":[0.9995448,0.0002226948,0.0000246718,0.0001068084,0.00003577038,0.00006528646],"domain_scores_gemma":[0.9966159,0.002566202,0.0003540704,0.0001014552,0.0002683175,0.00009411602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005871335,0.000032759,0.03309615,0.00004934531,0.00007829793,0.0001127601,0.00007734848,0.9584149,0.000137219,0.002920039,0.0003994164,0.004623034],"study_design_scores_gemma":[0.00002471702,0.00004284784,0.004471143,0.00003645574,0.00005653445,0.00006839742,0.0000511978,0.9907451,0.00007641783,0.003748742,0.0006660271,0.00001245396],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8406789,0.001673399,0.1409789,0.001375659,0.0001000613,0.0002066937,0.006702568,0.0003356742,0.007948175],"genre_scores_gemma":[0.9862633,0.0005770804,0.009763172,0.00007238088,0.00002721188,0.0001220654,0.001527606,0.00002002485,0.001627256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05931213,"threshold_uncertainty_score":0.1179338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0679440344233735,"score_gpt":0.318404067876488,"score_spread":0.2504600334531145,"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."}}