{"id":"W3022398816","doi":"10.1101/2020.05.03.075366","title":"Through-grid wicking enables high-speed cryoEM specimen preparation","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Electron Microscopy Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Hospital for Sick Children","funders":"","keywords":"Grid; Materials science; Vitrification; Process (computing); Membrane filter; Fiber; Composite material; Computer science; Filter (signal processing); Glass fiber; Chemical engineering; Membrane; Chemistry; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001581591,0.0005339758,0.0004213836,0.00005660089,0.000207343,0.0001509676,0.000592628,0.0005790428,0.00002673528],"category_scores_gemma":[0.00006821844,0.0006110318,0.0001585408,0.0002441337,0.0001153669,0.0000182599,0.0006268424,0.0005059862,0.0000368389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000137334,"about_ca_system_score_gemma":0.0003796147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003778932,"about_ca_topic_score_gemma":0.000003080671,"domain_scores_codex":[0.9974418,0.00006707596,0.000474057,0.001289548,0.0002148767,0.0005126754],"domain_scores_gemma":[0.9979877,0.00001092559,0.0004140236,0.00118047,0.0002727081,0.000134136],"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":[0.00005221029,0.00006675508,0.0001335184,0.00008744554,0.00009376166,0.000004367666,0.000005127046,0.0002121159,0.9925297,0.001449747,0.005363744,0.000001450217],"study_design_scores_gemma":[0.0002238684,0.0001295902,0.0006974819,0.00007124039,0.00005928872,2.235396e-8,0.000001310852,0.00005989695,0.8909622,0.0000409536,0.107163,0.000591101],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7903708,0.003571891,0.2005671,0.001183035,0.0007273151,0.002117349,0.0006341774,0.0007428821,0.00008543568],"genre_scores_gemma":[0.9441527,0.001344287,0.05186208,0.0005799492,0.001615919,0.0002508569,0.00001769908,0.0001551927,0.00002135752],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1537819,"threshold_uncertainty_score":0.9996341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01267470648030981,"score_gpt":0.2769144671446207,"score_spread":0.2642397606643109,"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."}}