{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001461155,0.0002700231,0.0002661894,0.0003580017,0.0003817771,0.0002602437,0.0002304724,0.000284515,0.01061925],"category_scores_gemma":[0.0002490052,0.0001763699,0.0002096861,0.000332104,0.0001603393,0.0003077219,0.0001161301,0.0006855949,0.001067004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001697388,"about_ca_system_score_gemma":0.0002107707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007769968,"about_ca_topic_score_gemma":0.002657371,"domain_scores_codex":[0.9999212,0.000004236652,0.000005622247,0.00002203522,0.00002837092,0.00001856835],"domain_scores_gemma":[0.9998233,0.00004780762,0.00001782608,0.00002239412,0.00007694232,0.00001164223],"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":[0.00002529807,0.000007085914,0.00004921771,0.00004709977,0.000002628099,0.00002756904,0.00001451307,0.00002177796,0.9981005,0.00005074045,0.0002324183,0.001421197],"study_design_scores_gemma":[0.000003519697,0.00004226185,0.00130294,0.000005177154,0.000005712891,0.00006852805,0.00002316799,0.0002435371,0.9948416,0.00003426208,0.003426519,0.00000273296],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9301443,0.002519703,0.04284739,0.0004564074,0.000639221,0.0001955872,0.004597879,0.001306957,0.0172927],"genre_scores_gemma":[0.9200988,0.002775552,0.04608125,0.0004545339,0.00007816405,0.0001850758,0.007260627,0.0006609495,0.02240497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01061925,"threshold_uncertainty_score":0.03552496,"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."}}