{"id":"W6892650303","doi":"10.5281/zenodo.1194720","title":"A Toolkit For The Scalable Purification Of Huntingtin From Eukaryotic Expression Systems","year":2018,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Genetic Neurodegenerative Diseases","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Huntingtin; Scalability; Huntingtin Protein; Expression (computer science)","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":[0.001965924,0.002732316,0.002080075,0.001776678,0.001558601,0.002821934,0.00362475,0.001484402,0.02309012],"category_scores_gemma":[0.003740266,0.003602299,0.001928574,0.001990675,0.0005238745,0.002349749,0.004939691,0.004256011,0.03999051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008923855,"about_ca_system_score_gemma":0.001655466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003086542,"about_ca_topic_score_gemma":0.004919786,"domain_scores_codex":[0.9986651,0.0001563611,0.0002053149,0.00025798,0.0005792401,0.0001358551],"domain_scores_gemma":[0.9982343,0.0005086033,0.0001040904,0.0006720384,0.0002522888,0.0002286258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001070694,0.0003799945,0.001149042,0.00339022,0.0005135507,0.001234269,0.0009551662,0.003848937,0.3776302,0.008917978,0.4237735,0.1771364],"study_design_scores_gemma":[0.0005167855,0.0002408103,0.003705699,0.000616231,0.000287174,0.00232164,0.0001820684,0.02414131,0.3064882,0.01815154,0.6428493,0.0004992795],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007730522,0.001389601,0.6380776,0.0006225316,0.0005389106,0.0008189574,0.04710969,0.2974331,0.006279197],"genre_scores_gemma":[0.03255372,0.002897457,0.6307471,0.000575742,0.0001419767,0.003964399,0.2367555,0.06712665,0.02523747],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02309012,"threshold_uncertainty_score":0.07724416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05897081866390665,"score_gpt":0.2621151041795045,"score_spread":0.2031442855155978,"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."}}