{"id":"W2335709729","doi":"10.1038/ejhg.2013.206","title":"Clinical utility gene card for: Huntington’s disease","year":2013,"lang":"en","type":"article","venue":"European Journal of Human Genetics","topic":"Genetic Neurodegenerative Diseases","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Genetics; Disease; Gene; Biology; Computational biology; Medicine; Bioinformatics; Internal medicine","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":[0.0009550815,0.0006335528,0.0005286331,0.0006703799,0.0004088865,0.001132534,0.0005289879,0.001396507,0.0244012],"category_scores_gemma":[0.003371731,0.00009175813,0.0002589063,0.0004562339,0.0004763481,0.000654565,0.0004359324,0.0007444715,0.007519605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004049437,"about_ca_system_score_gemma":0.0007936255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000771845,"about_ca_topic_score_gemma":0.001112837,"domain_scores_codex":[0.9996238,0.0001158229,0.00004298877,0.00009603499,0.00008045188,0.0000408747],"domain_scores_gemma":[0.9987682,0.0004104545,0.00008799013,0.0001380987,0.0003588451,0.0002364504],"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":[0.003145435,0.0005207606,0.06288292,0.000531548,0.00009071211,0.01325285,0.0001713766,0.0003776663,0.02189168,0.009131256,0.2194654,0.6685383],"study_design_scores_gemma":[0.001871258,0.002953461,0.1245016,0.001105052,0.0004452006,0.09143852,0.0003716719,0.003853667,0.0374097,0.02029657,0.7155957,0.000157526],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.4929717,0.03949722,0.0378417,0.06130001,0.01252951,0.001393193,0.01270979,0.003420617,0.3383363],"genre_scores_gemma":[0.8589216,0.01025552,0.03885876,0.0138984,0.003279427,0.0004378885,0.008094262,0.00052848,0.06572568],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0244012,"threshold_uncertainty_score":0.08163023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09147573998418282,"score_gpt":0.3379538072528828,"score_spread":0.2464780672687,"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."}}