{"id":"W2122833867","doi":"10.1017/s1431927608082226","title":"A Comparison of Backscatter Electron, R-filter, and Scanning Transmission Imaging of Sectioned Resin Embedded Biological Materials in Field Emission Scanning Electron Microscope","year":2008,"lang":"en","type":"article","venue":"Microscopy and Microanalysis","topic":"Electron and X-Ray Spectroscopy Techniques","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Materials science; Field electron emission; Electron; Scanning electron microscope; Scanning transmission electron microscopy; Backscatter (email); Transmission electron microscopy; Field emission gun; Optics; Field emission microscopy; Field (mathematics); Conventional transmission electron microscope; Analytical Chemistry (journal); Nanotechnology; Chemistry; Physics; Composite material; Computer science; Chromatography; Diffraction; Telecommunications; Nuclear physics","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":[0.0006724422,0.0003473789,0.001021069,0.0004614041,0.0002623558,0.00005896439,0.0002328823,0.0002005412,0.0001878399],"category_scores_gemma":[0.00003826094,0.0003035263,0.000110957,0.000506415,0.000304452,0.0002088875,0.00009147597,0.0002670705,0.000001684055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007500646,"about_ca_system_score_gemma":0.00008161525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000638649,"about_ca_topic_score_gemma":0.00003381337,"domain_scores_codex":[0.9972738,0.0002736906,0.0009875303,0.0006780823,0.000180597,0.000606289],"domain_scores_gemma":[0.9989948,0.0001024836,0.000422838,0.0002826884,0.0000935913,0.0001035743],"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":[0.0005444229,0.0001455699,0.05070487,0.00009265932,0.00002456176,0.000004404466,0.001334258,0.000002679376,0.9464466,0.000008152108,0.0004158717,0.0002759367],"study_design_scores_gemma":[0.0006117763,0.0004341804,0.004595526,0.000274841,0.00007338792,0.0000434167,0.0001695953,0.00005733316,0.9932449,0.00007507499,0.0001256097,0.0002943263],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990288,0.005444913,0.003658097,0.0001838008,0.00003864123,0.0002559722,0.00001236162,0.00005949831,0.00005873839],"genre_scores_gemma":[0.9890712,0.0009648356,0.009638838,0.0001247406,0.00002635514,0.00001598078,0.00002525218,0.00002599858,0.0001067842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04679831,"threshold_uncertainty_score":0.9999417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01723351436228188,"score_gpt":0.3186336920796831,"score_spread":0.3014001777174012,"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."}}