{"id":"W2413161477","doi":"10.14288/1.0073294","title":"Addressing access to Huntington disease predictive testing","year":2012,"lang":"en","type":"article","venue":"Open Collections","topic":"Genetic Neurodegenerative Diseases","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Predictive testing; Huntington's disease; Disease; Computer science; Medicine; Internal medicine","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":[0.002408909,0.0001154945,0.000150814,0.0004128005,0.001612176,0.001305188,0.0007199332,0.0006136099,0.006633234],"category_scores_gemma":[0.01228178,0.000136419,0.000128217,0.0005183082,0.0008149007,0.001287986,0.002969136,0.0007963974,0.0002695629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002894465,"about_ca_system_score_gemma":0.007869388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07236972,"about_ca_topic_score_gemma":0.07655906,"domain_scores_codex":[0.9978211,0.001075001,0.00009246817,0.0001863513,0.0003527173,0.0004724513],"domain_scores_gemma":[0.9941267,0.003490441,0.0006127413,0.0002439579,0.0005087811,0.001017503],"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":[0.0001956066,0.0006256303,0.2639284,0.0009428231,0.00003894778,0.00194721,0.05093695,0.001265038,0.002772594,0.005224668,0.007527492,0.6645948],"study_design_scores_gemma":[0.0002092532,0.003034403,0.6394939,0.003368744,0.0001781441,0.004085339,0.2187357,0.007905239,0.003507527,0.01761666,0.1017405,0.0001245715],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9473729,0.001128838,0.004123054,0.01531495,0.00003708861,0.0002568533,0.0001987723,0.00005411497,0.03151345],"genre_scores_gemma":[0.9957338,0.0007890965,0.001341342,0.0007656151,0.00002221214,0.0001322869,0.00004872322,0.000004203356,0.001162719],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07236972,"threshold_uncertainty_score":0.143897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2009456888961465,"score_gpt":0.3814692619496476,"score_spread":0.1805235730535012,"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."}}