{"id":"W6949699598","doi":"10.5281/zenodo.3383349","title":"From proteins to people: an open toolkit to accelerate Huntington's disease research","year":2019,"lang":"en","type":"article","venue":"Figshare","topic":"Genetic Neurodegenerative Diseases","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Disease; Translational research; Human disease; Huntingtin; MEDLINE","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":[0.007322875,0.001901701,0.001444435,0.003703509,0.001650135,0.005913597,0.002440253,0.002015359,0.1719974],"category_scores_gemma":[0.01425781,0.001646608,0.002641099,0.003858044,0.001004549,0.007231141,0.009687767,0.003782562,0.196253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007874285,"about_ca_system_score_gemma":0.001792375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001429308,"about_ca_topic_score_gemma":0.003591251,"domain_scores_codex":[0.9975866,0.0006861718,0.000216418,0.0004181639,0.0008861973,0.0002063986],"domain_scores_gemma":[0.9907417,0.003632153,0.0003706589,0.002252399,0.00130758,0.001695555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007467487,0.0001078555,0.000728773,0.001352585,0.0001183701,0.0003340208,0.001159675,0.0004881814,0.006766671,0.01052914,0.8322093,0.1454587],"study_design_scores_gemma":[0.0001715203,0.00006382383,0.001389304,0.0003755178,0.0000532458,0.0002120289,0.000250862,0.001369406,0.003081605,0.01901009,0.9738864,0.0001361395],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.003714532,0.001838794,0.3030258,0.006591724,0.003834455,0.001043594,0.1011622,0.4849393,0.09384961],"genre_scores_gemma":[0.02367353,0.003833864,0.5245297,0.003545343,0.0008363845,0.003400978,0.1419487,0.186649,0.1115826],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.1719974,"threshold_uncertainty_score":0.5753886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2056672951398368,"score_gpt":0.4019706736766537,"score_spread":0.1963033785368169,"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."}}