{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009215983,0.0002496367,0.0003414518,0.0001080253,0.0002625055,0.0001722549,0.0008439351,0.00002283428,0.0001648177],"category_scores_gemma":[0.001406955,0.0002212447,0.0004584926,0.0001053654,0.0003076986,0.0001126629,0.0001912075,0.0002826724,0.000153837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001775172,"about_ca_system_score_gemma":0.0001123774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.650103e-7,"about_ca_topic_score_gemma":4.408955e-7,"domain_scores_codex":[0.9959612,0.001498936,0.001211883,0.0004518908,0.0004831871,0.0003929117],"domain_scores_gemma":[0.9973942,0.0002488416,0.0006627177,0.0005723846,0.0004484795,0.000673374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001473094,0.0008256762,0.07551569,0.00006848019,0.00005178948,0.0001602201,0.0002577445,0.0004580496,0.8638553,0.0001773765,0.03078196,0.02770037],"study_design_scores_gemma":[0.001702877,0.001169297,0.5994371,0.00003423759,0.0001567878,0.00001893813,0.00004029856,0.0003154089,0.3830841,0.0009712873,0.01266763,0.00040202],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953254,0.0002739347,0.001667842,0.0002187592,0.0008003138,0.0003927534,0.00003972507,0.00002730813,0.001253983],"genre_scores_gemma":[0.9946901,0.0001248279,0.002542432,0.001073398,0.001099029,0.00000433372,0.000002788818,0.00007677275,0.0003863638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5239214,"threshold_uncertainty_score":0.9022096,"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."}}