{"id":"W4393809641","doi":"10.5281/zenodo.1116288","title":"Usp5 Zf-Ubd Purification & Fluorescence Polarization Displacement Assay Development","year":2017,"lang":"en","type":"dataset","venue":"Figshare","topic":"Advanced Biosensing Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Fluorescence anisotropy; Fluorescence; Displacement method; Polarization (electrochemistry); Displacement (psychology); Chemistry; Biophysics; Computer science; Physics; Optics; Structural engineering; Engineering; Biology; Psychology","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":[0.001647135,0.003657095,0.002879576,0.004505167,0.001207791,0.003315395,0.003991463,0.003060863,0.06981482],"category_scores_gemma":[0.00695334,0.001065688,0.001552905,0.006463881,0.0005101706,0.001345323,0.002133891,0.002252411,0.07760998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002306518,"about_ca_system_score_gemma":0.003607644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01127587,"about_ca_topic_score_gemma":0.02466597,"domain_scores_codex":[0.9983596,0.0002612098,0.0001881284,0.0005240969,0.0004719711,0.0001948956],"domain_scores_gemma":[0.9974645,0.001036507,0.0003432492,0.0004426476,0.0004514543,0.0002615243],"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":[0.0005406991,0.00008359872,0.003412677,0.007414885,0.0002579311,0.0001033748,0.00006287631,0.001316643,0.001672738,0.001067039,0.9766973,0.007370198],"study_design_scores_gemma":[0.00087505,0.00006792731,0.005705298,0.001137856,0.0002212027,0.0001529528,0.00006494478,0.0008301135,0.002708748,0.002229313,0.9859381,0.00006836665],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002012177,0.0002124619,0.0001169704,0.00003897856,0.000009845628,0.00001585346,0.9984195,0.0004813402,0.0005037501],"genre_scores_gemma":[0.0005530652,0.0001321999,0.0005133474,0.00005336215,0.000002386461,0.0001013578,0.9981998,0.0001219533,0.0003224324],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06981482,"threshold_uncertainty_score":0.2335538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03541206969119828,"score_gpt":0.3262878147626038,"score_spread":0.2908757450714056,"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."}}