{"id":"W4394025477","doi":"10.5281/zenodo.823764","title":"Purification Of Full-Length Huntingtin Q23 With C-Terminal Flag Tag (2017/07/06)","year":2017,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"S100 Proteins and Annexins","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Flag (linear algebra); Terminal (telecommunication); Huntingtin; Chemistry; Biology; Computer science; Biochemistry; Mathematics; Gene; Telecommunications","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":[0.00158213,0.003893295,0.002612933,0.003748854,0.0009510049,0.002872318,0.002997572,0.003046105,0.02401926],"category_scores_gemma":[0.003770058,0.0009352766,0.001877809,0.005873198,0.0004565891,0.001019686,0.001508387,0.001829642,0.0361493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00137759,"about_ca_system_score_gemma":0.003418434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01331693,"about_ca_topic_score_gemma":0.01971552,"domain_scores_codex":[0.9990417,0.0001344875,0.000112957,0.0003525912,0.0002239945,0.0001342026],"domain_scores_gemma":[0.9990004,0.0003050621,0.0001314146,0.0002379592,0.0001673614,0.0001579115],"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":[0.001117134,0.0001885454,0.004864914,0.005279085,0.000518273,0.0002265752,0.00007656541,0.002021672,0.003948415,0.0009452403,0.9727228,0.008090773],"study_design_scores_gemma":[0.002785147,0.0001915058,0.01738226,0.001033389,0.000639703,0.0004172384,0.0001256067,0.00272355,0.00656957,0.003204276,0.9648066,0.0001212521],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009095945,0.0003908146,0.0001249495,0.00004691642,0.00002172494,0.00001468131,0.9975448,0.0005434035,0.0004029888],"genre_scores_gemma":[0.0005893034,0.0001218616,0.0002857445,0.00002663362,0.000002046838,0.00003334295,0.9987042,0.00005448414,0.0001823397],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02401926,"threshold_uncertainty_score":0.08035249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02516169621539102,"score_gpt":0.2633626733806722,"score_spread":0.2382009771652812,"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."}}