{"id":"W6966909230","doi":"10.48550/arxiv.1808.05702","title":"Cryo scanning transmission X-ray microscope optimized for spectrotomography","year":2018,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced X-ray Imaging Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Microscope; Sample (material); Data acquisition; Resolution (logic); Image resolution; Torr; Transmission (telecommunications); Beam (structure); Microscopy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00019081,0.000497947,0.0005439435,0.0003123408,0.0002831327,0.00008899281,0.0008284611,0.0001841344,0.0002565119],"category_scores_gemma":[0.000005132773,0.0005738555,0.0005865091,0.0003191222,0.0002412239,0.0002196555,0.0003858191,0.0005450133,0.00001647975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001021579,"about_ca_system_score_gemma":0.000138444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001025579,"about_ca_topic_score_gemma":6.550932e-7,"domain_scores_codex":[0.9979452,0.00006933271,0.0002619635,0.001121098,0.00006783381,0.000534513],"domain_scores_gemma":[0.9983693,0.00008024942,0.0003326365,0.0008155484,0.0002216961,0.0001806071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.005853819,0.003227495,0.07649972,0.00233492,0.003994075,0.00023872,0.00275208,0.6038711,0.05722798,0.1759686,0.04428689,0.02374457],"study_design_scores_gemma":[0.007830138,0.0005305004,0.0006865218,0.001951942,0.001403433,0.000001749322,0.0004880412,0.1575576,0.09174899,0.6866447,0.04694673,0.004209701],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06460285,0.00005474776,0.9296634,0.00004798835,0.0002273051,0.001278414,0.0001261907,0.0003908784,0.003608279],"genre_scores_gemma":[0.8211509,0.00003144731,0.1770761,0.0000333234,0.0003427682,0.00001910189,0.0001511388,0.00008282575,0.00111238],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.756548,"threshold_uncertainty_score":0.9996713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03805204019294015,"score_gpt":0.2238627030112648,"score_spread":0.1858106628183247,"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."}}