{"id":"W4214565844","doi":"10.1007/978-1-0716-2051-9_15","title":"Sample Preparation for Multicolor STED Microscopy","year":2022,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"STED microscopy; Microscopy; Fluorophore; Super-resolution microscopy; Confocal microscopy; Light sheet fluorescence microscopy; Bright-field microscopy; Optics; Stimulated emission; Microscope; Nanotechnology; Materials science; Scanning confocal electron microscopy; Physics; Laser; Fluorescence","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":[],"consensus_categories":[],"category_scores_codex":[0.0009444652,0.0001840622,0.0002314155,0.0001164318,0.0001384355,0.000009390022,0.0003468255,0.0001685974,0.00002815308],"category_scores_gemma":[0.0007399136,0.0002072734,0.0001078026,0.000178305,0.0001190324,0.000002594849,0.0003402997,0.0001677197,5.711152e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007292745,"about_ca_system_score_gemma":0.00007380081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002813517,"about_ca_topic_score_gemma":0.00001039428,"domain_scores_codex":[0.9978443,0.0008096258,0.0003176184,0.0006030546,0.00005276957,0.0003725763],"domain_scores_gemma":[0.9992236,0.0001157658,0.0001212841,0.0004404343,0.00005890778,0.00003995443],"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":[0.0003307369,0.00007963964,0.000864024,0.000009381984,0.00001792673,0.00000142902,0.0000439503,0.0003042017,0.9919671,0.001037928,0.0001480959,0.005195633],"study_design_scores_gemma":[0.000559742,0.0009885496,0.00004397073,0.000002427062,0.000008338895,0.000007817133,0.00004502516,0.0007597452,0.9234305,0.004294193,0.06964309,0.000216633],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04627951,0.0005738942,0.9517137,0.00007714824,0.0002119814,0.0009304621,0.0001344573,0.00003636936,0.00004250543],"genre_scores_gemma":[0.009163307,0.00002398317,0.9880797,0.0006599709,0.00003560181,0.001364511,0.0005484927,0.00004029806,0.00008414908],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.06949499,"threshold_uncertainty_score":0.8452362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0200198335426798,"score_gpt":0.4514618188272339,"score_spread":0.431441985284554,"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."}}