{"id":"W2088689441","doi":"10.1017/s1431927611006003","title":"UV Treatment of TEM/STEM Samples for Reduced Hydrocarbon Contamination","year":2011,"lang":"en","type":"article","venue":"Microscopy and Microanalysis","topic":"Electron and X-Ray Spectroscopy Techniques","field":"Materials Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Institute for Nanotechnology; Hitachi (Canada)","funders":"","keywords":"Contamination; Hydrocarbon; Materials science; Environmental chemistry; Environmental science; Chemistry; Biology; Organic chemistry; Ecology","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":[],"consensus_categories":[],"category_scores_codex":[0.0002148582,0.0001993399,0.0004497841,0.000167067,0.0001240907,0.00003345932,0.0001324129,0.00009099826,0.00009125315],"category_scores_gemma":[0.000007802016,0.0001666071,0.0001564953,0.0001591473,0.0001224964,0.00009722674,0.00001922751,0.00002807307,0.000004153102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009142352,"about_ca_system_score_gemma":0.00003898556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005887155,"about_ca_topic_score_gemma":0.0001560338,"domain_scores_codex":[0.9988399,0.00005279647,0.0003603044,0.0003813523,0.00008008069,0.000285535],"domain_scores_gemma":[0.9993328,0.00004826242,0.0002116513,0.0002669577,0.0000818049,0.00005848342],"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":[0.0001403945,0.0001743611,0.001327417,0.0000305042,0.00006909802,6.23672e-7,0.001054587,1.06244e-7,0.9943191,0.0005591254,0.00007933388,0.002245338],"study_design_scores_gemma":[0.0004623657,0.0008403252,0.0006901231,0.00002091554,0.0003195224,0.000003900387,0.0001764627,0.00002603555,0.9960273,0.0004452491,0.0008217837,0.0001659974],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894881,0.0014523,0.008096691,0.00003796096,0.00005312282,0.0003728012,0.0000608769,0.00007696969,0.0003612177],"genre_scores_gemma":[0.9780782,0.0004392877,0.02064066,0.00003289119,0.00002670878,0.00008635793,0.00002823794,0.00001877419,0.0006489023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01254397,"threshold_uncertainty_score":0.6794041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02516541123776885,"score_gpt":0.2838837388618526,"score_spread":0.2587183276240838,"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."}}