{"id":"W3093872090","doi":"10.1107/s2059798320012474","title":"Through-grid wicking enables high-speed cryoEM specimen preparation","year":2020,"lang":"en","type":"article","venue":"Acta Crystallographica Section D Structural Biology","topic":"Advanced Electron Microscopy Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Hospital for Sick Children","funders":"Institute of Genetics; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Grid; Materials science; Vitrification; Process (computing); Fiber; Glass fiber; Composite material; Filter (signal processing); Computer science","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":[0.0004612028,0.0005247308,0.0004802599,0.0003766754,0.0004130288,0.0006599567,0.0005308575,0.0004444833,0.003716514],"category_scores_gemma":[0.000464497,0.0004964465,0.0002510527,0.0003717466,0.0004276824,0.0005968155,0.0006483868,0.0009042969,0.001946239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002483544,"about_ca_system_score_gemma":0.0003280647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007811729,"about_ca_topic_score_gemma":0.001722692,"domain_scores_codex":[0.9996773,0.00003899083,0.00002113351,0.0001088352,0.0001026985,0.00005111249],"domain_scores_gemma":[0.9995996,0.00009573311,0.00006889003,0.0001324466,0.00005643349,0.00004678875],"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":[0.00003396975,0.00001268701,0.0001428277,0.00005551783,0.000003925176,0.00005664069,0.00003518027,0.0000528936,0.9914621,0.000518614,0.0003642158,0.007261443],"study_design_scores_gemma":[0.00001024441,0.00008960035,0.002270122,0.0000103377,0.000009742796,0.0004408947,0.00003200999,0.001470266,0.9767774,0.0002274244,0.01864628,0.00001569381],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3909337,0.002975602,0.5870612,0.0003956336,0.0008490304,0.0005099957,0.001477008,0.004622711,0.01117515],"genre_scores_gemma":[0.4996927,0.003885929,0.4796913,0.0001502012,0.0001170292,0.0003570807,0.002057084,0.0009391423,0.01310946],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003716514,"threshold_uncertainty_score":0.01243305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01066331497393527,"score_gpt":0.2961803284821454,"score_spread":0.2855170135082101,"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."}}