{"id":"W2089575608","doi":"10.1107/s0909049512034486","title":"Accurate dosimetry in scanning transmission X-ray microscopes<i>via</i>the cross-linking threshold dose of poly(methyl methacrylate)","year":2012,"lang":"en","type":"article","venue":"Journal of Synchrotron Radiation","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Canadian Light Source (Canada); Brockhouse Institute for Materials Research","funders":"Basic Energy Sciences; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Bundesministerium für Bildung und Forschung; Canada Research Chairs; University of Saskatchewan; U.S. Department of Energy","keywords":"Materials science; Dosimetry; Monochromatic color; Optics; Absorbed dose; Microscope; Radiation; X-ray; Polymer; Radiation damage; Methyl methacrylate; Absorption (acoustics); Optoelectronics; Nuclear medicine; Physics; Composite material","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002181241,0.0007484455,0.0004357112,0.0007932025,0.0003919607,0.0007756419,0.0009441786,0.0006288317,0.001363749],"category_scores_gemma":[0.002262115,0.0007852056,0.0002541426,0.0005549648,0.0009207486,0.0008713063,0.0007015744,0.001068695,0.0004013394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008113018,"about_ca_system_score_gemma":0.0005384245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005508778,"about_ca_topic_score_gemma":0.001113169,"domain_scores_codex":[0.9991164,0.000151587,0.0001035427,0.0002495658,0.0003297512,0.00004916169],"domain_scores_gemma":[0.9974316,0.0009596047,0.00046646,0.0006784843,0.0004048344,0.00005896389],"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":[0.00006113311,0.00001737175,0.000978761,0.0001123506,0.000009426203,0.00002756055,0.0001225527,0.0009079502,0.9923519,0.0005313703,0.00005095961,0.004828663],"study_design_scores_gemma":[0.000005543608,0.00009614202,0.002929737,0.00001742936,0.00001592102,0.00007845626,0.0000372409,0.00383786,0.9918984,0.0002025223,0.0008721619,0.000008520322],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6685487,0.001760511,0.3232679,0.0001448495,0.00008980806,0.0003367569,0.0005803778,0.001571855,0.003699319],"genre_scores_gemma":[0.7150851,0.002387605,0.2782431,0.00006747412,0.00001498526,0.0003658678,0.0003230922,0.0004960013,0.003016802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002181241,"threshold_uncertainty_score":0.01153564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01008028286361079,"score_gpt":0.2777507802117347,"score_spread":0.2676704973481239,"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."}}