{"id":"W3006974456","doi":"10.1038/s41467-020-14793-0","title":"Serial protein crystallography in an electron microscope","year":2020,"lang":"en","type":"article","venue":"Nature Communications","topic":"Enzyme Structure and Function","field":"Materials Science","cited_by":124,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Deutsches Elektronen-Synchrotron; Natural Sciences and Engineering Research Council of Canada; Deutsche Forschungsgemeinschaft; Max-Planck-Gesellschaft; Joachim Herz Stiftung; Alexander von Humboldt-Stiftung","keywords":"Diffraction; Transmission electron microscopy; Protein crystallization; Electron diffraction; Electron microscope; Cryo-electron microscopy; Microscope; Electron crystallography; Materials science; Scanning electron microscope; Sample preparation; Crystallography; Nanotechnology; Optics; Chemistry; Physics; Chromatography; Crystallization","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004765716,0.0004752231,0.0003774538,0.0006641555,0.0004548797,0.0005030768,0.0007537575,0.0004934695,0.005199145],"category_scores_gemma":[0.0003996535,0.000557176,0.0002724552,0.0003872965,0.0003711113,0.0006309087,0.0006013941,0.001346713,0.002287195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003838569,"about_ca_system_score_gemma":0.0004461091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008125563,"about_ca_topic_score_gemma":0.002056679,"domain_scores_codex":[0.9997553,0.00002849574,0.00002474133,0.00008477984,0.00008163966,0.00002493025],"domain_scores_gemma":[0.9995962,0.00009572411,0.00004018758,0.0001722705,0.0000639706,0.00003174606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005788092,0.00004206667,0.0003851821,0.00007461543,0.000009792064,0.0001466971,0.00004018649,0.0003758286,0.9845877,0.00150233,0.0008072385,0.01197057],"study_design_scores_gemma":[0.0000557178,0.0001880659,0.004716737,0.00004540158,0.00003080902,0.001224903,0.00005210451,0.02220077,0.9347856,0.001051179,0.03562351,0.00002528892],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2675807,0.001613812,0.6967702,0.0006464653,0.0004395612,0.0004444865,0.001881436,0.008912985,0.02171049],"genre_scores_gemma":[0.1809896,0.001462492,0.8003011,0.0001314617,0.00005465099,0.0003694191,0.001323228,0.000782712,0.01458529],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005199145,"threshold_uncertainty_score":0.01739281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01622085408072783,"score_gpt":0.2851474908863546,"score_spread":0.2689266368056268,"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."}}