{"id":"W2024760394","doi":"10.1017/s1431927610058034","title":"Applications of spherical aberration correction in STEM and TEM","year":2010,"lang":"en","type":"article","venue":"Microscopy and Microanalysis","topic":"Electron and X-Ray Spectroscopy Techniques","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Microanalysis; Materials science; Microscopy; Optics; Chemistry; Physics","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":[0.001516785,0.0008151644,0.0003839545,0.001646662,0.0006398403,0.0009524254,0.001032974,0.0005737041,0.01484887],"category_scores_gemma":[0.003784936,0.000464439,0.0003743386,0.00115269,0.0006304834,0.001429598,0.001077227,0.0009257473,0.002291926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006076101,"about_ca_system_score_gemma":0.0009156378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00204944,"about_ca_topic_score_gemma":0.005877019,"domain_scores_codex":[0.9989139,0.000187962,0.00008774803,0.0001298798,0.0006216108,0.00005896002],"domain_scores_gemma":[0.99689,0.0009993971,0.0002130701,0.0004586157,0.001364572,0.00007431607],"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":[0.0004636982,0.0001051839,0.002307001,0.001187133,0.00007492407,0.0004396703,0.000400501,0.007074219,0.5076357,0.03535774,0.01383393,0.4311203],"study_design_scores_gemma":[0.00005350677,0.0002282517,0.003906462,0.00007125746,0.00003629635,0.001795661,0.0002079306,0.0676359,0.8388652,0.01323511,0.07386479,0.00009960144],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03613535,0.003815614,0.9305568,0.001360862,0.001147976,0.0003241265,0.001422223,0.005172585,0.02006441],"genre_scores_gemma":[0.1817036,0.003778236,0.799625,0.000311418,0.0001490362,0.0001804837,0.001110605,0.0009954994,0.0121462],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01484887,"threshold_uncertainty_score":0.04967439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005510740068619866,"score_gpt":0.2657689288905621,"score_spread":0.2602581888219422,"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."}}