{"id":"W3190247964","doi":"10.1017/s143192762100492x","title":"Characterization of Real Materials with Low Voltage STEM (30 kV): Current State and Challenges","year":2021,"lang":"en","type":"article","venue":"Microscopy and Microanalysis","topic":"Electron and X-Ray Spectroscopy Techniques","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Characterization (materials science); Current (fluid); State (computer science); Voltage; Materials science; Action (physics); Electrical engineering; Computer science; Nanotechnology; Engineering; 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":[0.002531781,0.0004415959,0.0004964245,0.0005749862,0.0004520016,0.001495538,0.001255935,0.001476242,0.001279885],"category_scores_gemma":[0.001323594,0.0004067326,0.0002161171,0.0003875005,0.001136039,0.003238062,0.0003715202,0.0008564505,0.0005917732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004976072,"about_ca_system_score_gemma":0.0004188464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004357088,"about_ca_topic_score_gemma":0.0009951281,"domain_scores_codex":[0.999393,0.00009930387,0.00003903949,0.0001065387,0.0003280209,0.00003406871],"domain_scores_gemma":[0.9989198,0.000346787,0.0000900595,0.0001953275,0.00039375,0.00005423196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004190422,0.00005694931,0.0004480411,0.0003713155,0.00001493323,0.00006496501,0.0001169759,0.0006131546,0.9718276,0.00228525,0.0006813039,0.02347756],"study_design_scores_gemma":[0.000007936781,0.0002020943,0.002390594,0.00005687342,0.00001677799,0.0007140465,0.0002421288,0.006084211,0.9618967,0.003100053,0.02525925,0.0000293546],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.5149012,0.1022285,0.3578328,0.007969105,0.0004019838,0.0002742038,0.001039463,0.001549968,0.0138028],"genre_scores_gemma":[0.6891602,0.04033187,0.259933,0.0007777835,0.0002261023,0.00015256,0.001457324,0.0004287383,0.007532388],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.002531781,"threshold_uncertainty_score":0.01338953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01142350606235319,"score_gpt":0.2594067229852497,"score_spread":0.2479832169228965,"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."}}