{"id":"W4286461925","doi":"10.1017/s1431927622003567","title":"Effect of Sampling on Geometric Phase Analysis Sensitivity for Strain Measurement in Scanning Transmission Electron Microscopy","year":2022,"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":"Canadian Light Source (Canada); McMaster University","funders":"","keywords":"Sensitivity (control systems); Transmission (telecommunications); Transmission electron microscopy; Materials science; Phase (matter); Sampling (signal processing); Strain (injury); Content (measure theory); Analytical Chemistry (journal); Computer science; Optics; Nanotechnology; Physics; Chemistry; Electronic engineering; Engineering; Mathematics; Telecommunications; Chromatography; Mathematical analysis; Biology","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":[0.009808701,0.0008454238,0.001013781,0.001145681,0.0007174566,0.001182369,0.0007478174,0.001516566,0.00155862],"category_scores_gemma":[0.0453307,0.001197407,0.0005557291,0.00125306,0.001193428,0.001172601,0.001406669,0.000898128,0.00026531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007922869,"about_ca_system_score_gemma":0.0003945442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001229496,"about_ca_topic_score_gemma":0.001745748,"domain_scores_codex":[0.9918925,0.004455513,0.0005518351,0.0008280898,0.002062948,0.0002091067],"domain_scores_gemma":[0.8550846,0.1290821,0.003306746,0.005530473,0.006316558,0.000679613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0052389,0.0002648369,0.01743251,0.0006706239,0.0003510149,0.0007006376,0.0008000723,0.01405487,0.9050896,0.001331319,0.001027357,0.0530383],"study_design_scores_gemma":[0.00007514376,0.001335753,0.02512532,0.00008076138,0.0003144727,0.00121259,0.0001331097,0.07164796,0.8975932,0.0007465084,0.001594759,0.0001403956],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7867931,0.006271793,0.2005112,0.001221982,0.0003726063,0.0002162652,0.0003573258,0.001628732,0.002626926],"genre_scores_gemma":[0.9229201,0.001339995,0.07367634,0.0005382951,0.0001446084,0.00009081661,0.0002141938,0.0005789776,0.0004967226],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.009808701,"threshold_uncertainty_score":0.05187398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01753869835232471,"score_gpt":0.3364706197773624,"score_spread":0.3189319214250377,"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."}}