{"id":"W2110290882","doi":"10.1136/jmedgenet-2011-100352","title":"Lessons from predictive testing for Huntington disease: 25 years on","year":2011,"lang":"en","type":"article","venue":"Journal of Medical Genetics","topic":"Genetic Neurodegenerative Diseases","field":"Neuroscience","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Child and Family Research Institute; University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Predictive testing; Genetic testing; Genetic counseling; Huntington's disease; Disease; Medicine; Risk assessment; Carrier testing; Test (biology); Diagnostic test; Predictive value; Computer science; Pathology; Pediatrics; Prenatal diagnosis; Biology; Internal medicine; Pregnancy; Genetics; Computer security","routes":{"ca_aff":true,"ca_fund":true,"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":[0.05514094,0.001970385,0.002082455,0.002946327,0.002275036,0.006051381,0.00386056,0.0155348,0.007262424],"category_scores_gemma":[0.08326972,0.000873007,0.001888361,0.001413657,0.01361481,0.01924321,0.006278072,0.02522925,0.002156309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006204052,"about_ca_system_score_gemma":0.009194945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0121527,"about_ca_topic_score_gemma":0.01217826,"domain_scores_codex":[0.9886848,0.005484406,0.001577919,0.001220525,0.002340819,0.0006914857],"domain_scores_gemma":[0.936099,0.04417912,0.001198312,0.003184421,0.01038694,0.00495222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005622905,0.0002845355,0.003382325,0.001627559,0.0001923992,0.002570714,0.001613777,0.001112472,0.0004372098,0.07576425,0.2893354,0.623117],"study_design_scores_gemma":[0.0001823471,0.0004186944,0.002879584,0.01084002,0.000151721,0.002527341,0.001725529,0.0009453428,0.0003208701,0.1098865,0.8699026,0.0002193928],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00193918,0.2933118,0.005900562,0.670626,0.01818746,0.00005941121,0.0001363364,0.0002056452,0.009633676],"genre_scores_gemma":[0.0422519,0.5129183,0.01630948,0.3470235,0.07349323,0.0002517036,0.0002654325,0.00028577,0.007200782],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.05514094,"threshold_uncertainty_score":0.2916167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1174556324510234,"score_gpt":0.3345712193555088,"score_spread":0.2171155869044855,"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."}}