{"id":"W4402911692","doi":"10.1101/2024.09.25.614766","title":"Challenges and advances for huntingtin detection in cerebrospinal fluid: in support of relative quantification","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genetic Neurodegenerative Diseases","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Structural Genomics Consortium; University of Toronto","funders":"National Institute of Neurological Disorders and Stroke; Ontario Genomics Institute; European Federation of Pharmaceutical Industries and Associations; Merck KGaA; Ontario Genomics; Genome Canada; Wellcome Trust; Genentech; Bayer; Natural Sciences and Engineering Research Council of Canada; Pfizer","keywords":"Cerebrospinal fluid; Huntingtin; Psychology; Neuroscience; Medicine; Internal medicine; Huntington's disease","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":[0.02315977,0.001758794,0.00158029,0.002278977,0.0006822743,0.004085062,0.00325172,0.002967812,0.002181815],"category_scores_gemma":[0.01599274,0.001060241,0.001154407,0.001429772,0.002396537,0.00286924,0.002122132,0.005589347,0.002956257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001902374,"about_ca_system_score_gemma":0.001852748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001554859,"about_ca_topic_score_gemma":0.002050499,"domain_scores_codex":[0.9846905,0.005884143,0.0007891459,0.003109046,0.005158328,0.0003688063],"domain_scores_gemma":[0.9837298,0.007318798,0.001546945,0.00189165,0.005094502,0.0004183555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003303876,0.000185562,0.004724453,0.002487961,0.0002110006,0.0002655415,0.0007164494,0.001540839,0.8043541,0.01842155,0.007886308,0.1588759],"study_design_scores_gemma":[0.00004436813,0.00102257,0.008834368,0.001212073,0.0002814204,0.002380358,0.0005522838,0.03054799,0.7541872,0.02108941,0.1795792,0.0002688358],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04460476,0.1166817,0.8073955,0.01671454,0.002566718,0.00046612,0.001389806,0.002537454,0.007643372],"genre_scores_gemma":[0.1697477,0.05112289,0.7613215,0.004831564,0.001259757,0.001104943,0.001926346,0.0007770107,0.007908326],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02315977,"threshold_uncertainty_score":0.1224821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03996395187942546,"score_gpt":0.2739858590996978,"score_spread":0.2340219072202723,"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."}}