{"id":"W2021494469","doi":"10.1016/s1474-4422(03)00317-x","title":"Predictive testing for Huntington's disease: a universal model?","year":2003,"lang":"en","type":"article","venue":"The Lancet Neurology","topic":"Genetic Neurodegenerative Diseases","field":"Neuroscience","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Predictive testing; Disease; Ambiguity; Genetic testing; Huntingtin; Huntington's disease; Psychology; Genetics; Medicine; Biology; Internal medicine; Computer science","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":[0.0495264,0.001796292,0.00449797,0.003211383,0.001179909,0.004288149,0.005755811,0.004933774,0.004373246],"category_scores_gemma":[0.1769174,0.0008685602,0.002215058,0.002091006,0.008634364,0.01395477,0.003632055,0.006819587,0.0006281775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00249625,"about_ca_system_score_gemma":0.003751849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005220017,"about_ca_topic_score_gemma":0.004091121,"domain_scores_codex":[0.9796101,0.01270896,0.001140132,0.002941117,0.002745785,0.000853853],"domain_scores_gemma":[0.8463895,0.1323695,0.004520371,0.009410342,0.005224309,0.002085894],"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":[0.001862616,0.0005189043,0.1734488,0.001367108,0.002856294,0.001626929,0.001243829,0.03618037,0.0009472841,0.3032608,0.03245642,0.4442306],"study_design_scores_gemma":[0.000243403,0.0004000881,0.01371728,0.001011931,0.0008603025,0.001303318,0.0003696911,0.07603465,0.0004376067,0.8997251,0.005804985,0.00009154053],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1428825,0.05486268,0.4617111,0.3024155,0.00334394,0.0002479464,0.002087516,0.001292265,0.03115666],"genre_scores_gemma":[0.9302982,0.01019959,0.03570083,0.01829967,0.003497656,0.0002011457,0.0005201132,0.0001450815,0.001137754],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0495264,"threshold_uncertainty_score":0.2619238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06449346784460598,"score_gpt":0.2795405484587411,"score_spread":0.2150470806141351,"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."}}