{"id":"W1529492341","doi":"10.1016/s0076-6879(03)75028-9","title":"Correlative Light and Electron Spectroscopic Imaging of Chromatin In Situ","year":2003,"lang":"en","type":"article","venue":"Methods in enzymology on CD-ROM/Methods in enzymology","topic":"Advanced Electron Microscopy Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":43,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hospital for Sick Children","funders":"Canadian Institutes of Health Research","keywords":"Electron microscope; Correlative; Electron; Microscopy; Ionization; In situ; Spectrometer; Energy filtered transmission electron microscopy; Chemistry; Analytical Chemistry (journal); Chromatin; Spectroscopy; Resolution (logic); Scanning transmission electron microscopy; Atomic physics; Optics; Physics; Ion; DNA; Chromatography; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002945745,0.0004592838,0.0009219185,0.0005885671,0.00006740569,0.000008649328,0.0003695305,0.0006203737,0.00003716836],"category_scores_gemma":[0.001277439,0.0004894909,0.00009851096,0.0006932297,0.0004250351,0.00001434735,0.0001572238,0.0009433106,0.000002568496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001791844,"about_ca_system_score_gemma":0.0001403105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007044949,"about_ca_topic_score_gemma":0.0004574687,"domain_scores_codex":[0.9928288,0.004078596,0.0009785071,0.001104544,0.00008979251,0.0009197121],"domain_scores_gemma":[0.9980217,0.000778523,0.0003665903,0.0006904278,0.00005921437,0.00008357746],"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":[0.0001314004,0.0002715575,0.01136272,0.00002450497,0.00001922451,0.00002178277,0.0001877422,0.00006513306,0.9629192,0.01923342,0.00006043144,0.00570289],"study_design_scores_gemma":[0.001252405,0.0009071853,0.02567724,0.00004016973,0.00001511294,0.0001917362,0.0001064237,0.00003803113,0.928462,0.03822795,0.004682893,0.0003988353],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6719072,0.003706201,0.3174239,0.0003066515,0.0002054517,0.000719642,0.000004646833,0.00003351512,0.005692849],"genre_scores_gemma":[0.3988264,0.0004372497,0.600052,0.0002702431,0.0000267536,0.0001894714,0.00001321118,0.00004230392,0.0001423807],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2826282,"threshold_uncertainty_score":0.9997557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01358167590532959,"score_gpt":0.4210501291987003,"score_spread":0.4074684532933707,"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."}}