{"id":"W4393473084","doi":"10.5281/zenodo.1148757","title":"Hdac11 Protein Purification","year":2018,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Endoplasmic Reticulum Stress and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Computational biology; Biology","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":[0.001964604,0.004815794,0.003440467,0.004551682,0.001257423,0.003225615,0.002941697,0.003013799,0.03491645],"category_scores_gemma":[0.003763644,0.0009713901,0.002354121,0.005961543,0.000554268,0.001244101,0.001819721,0.002468172,0.06547571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001372634,"about_ca_system_score_gemma":0.002527513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007799753,"about_ca_topic_score_gemma":0.01520184,"domain_scores_codex":[0.9984868,0.0002622213,0.0001636199,0.0006177323,0.0002716861,0.0001978714],"domain_scores_gemma":[0.9990414,0.0002884554,0.0001002792,0.0002808309,0.0001499184,0.0001391426],"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":[0.0008372382,0.0001299965,0.003127094,0.005344945,0.0003157617,0.0001712027,0.00006633608,0.00151461,0.006060169,0.001107189,0.9706731,0.01065225],"study_design_scores_gemma":[0.0009527291,0.0001066613,0.005893117,0.0005921681,0.0003336283,0.0003153044,0.00007817881,0.001682091,0.005643582,0.002584031,0.9817491,0.00006951345],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009816869,0.0009457425,0.0005444252,0.0000938466,0.00005639521,0.00003952855,0.9945821,0.001706316,0.001049955],"genre_scores_gemma":[0.0006407812,0.0002506587,0.0008315252,0.00004679289,0.000004870053,0.00009276939,0.9974902,0.0001688091,0.0004736223],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03491645,"threshold_uncertainty_score":0.1168072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01771440666372526,"score_gpt":0.2449448230458965,"score_spread":0.2272304163821713,"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."}}