{"id":"W2051506844","doi":"10.1063/1.3625392","title":"Observations of Biological Specimens at Cryo-Temperatures with Soft X-ray Microscope at the SR Center of Ritsumeikan University","year":2011,"lang":"en","type":"article","venue":"AIP conference proceedings","topic":"Advanced X-ray Imaging Techniques","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ritsumeikan University; Kansai University; Ministry of Education, Culture, Sports, Science and Technology; Kansai Medical University; Ryerson University","keywords":"Microscope; Materials science; Optical microscope; Sample (material); Cryogenic temperature; Resolution (logic); Cryogenics; Center (category theory); Optics; Temperature control; Scanning electron microscope; Composite material; Physics; Mechanical engineering; Engineering; Chemistry; Crystallography; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004531388,0.0003123158,0.0003990048,0.000350819,0.0007936546,0.000335523,0.0005923824,0.000231712,0.001791414],"category_scores_gemma":[0.0001515227,0.0002628599,0.0002728067,0.0003312992,0.0005115916,0.0004067268,0.0004807936,0.0007946868,0.0007971795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002966334,"about_ca_system_score_gemma":0.0003161712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001641391,"about_ca_topic_score_gemma":0.003487235,"domain_scores_codex":[0.9998475,0.00001819618,0.00001298155,0.00005065028,0.00004527484,0.00002536271],"domain_scores_gemma":[0.9998647,0.00001758567,0.00002309427,0.00003965215,0.00003568263,0.00001930233],"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":[0.00002487386,0.000007501145,0.0004621918,0.00004454939,0.000006167808,0.00007597202,0.0001340292,0.0001009332,0.9973278,0.0002593115,0.0000907601,0.001465935],"study_design_scores_gemma":[0.00002139384,0.0001714457,0.03049251,0.00003325655,0.00005792362,0.0008670295,0.0003553968,0.001943626,0.9538605,0.0002726898,0.01189756,0.00002674189],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9393091,0.001808134,0.05150998,0.000186718,0.00007347087,0.00008495877,0.001019719,0.0004572326,0.005550804],"genre_scores_gemma":[0.8785774,0.002382366,0.1086483,0.0001124311,0.00003582592,0.0002091593,0.001928028,0.0002795174,0.007826919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001791414,"threshold_uncertainty_score":0.005992889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04164228623692614,"score_gpt":0.2397230299667413,"score_spread":0.1980807437298152,"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."}}