{"id":"W3046893333","doi":"10.1017/s1431927620017377","title":"Is a 30 kV CFE-SEM in STEM-in-SEM Mode Suitable for Characterizing Real Materials?","year":2020,"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":"McGill University","funders":"","keywords":"Mode (computer interface); Materials science; Content (measure theory); Nanotechnology; Computer science; Mathematics; Operating system","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005703028,0.0003384681,0.000803721,0.0002357834,0.0001459226,0.000306252,0.0003445377,0.0001891919,0.0004688187],"category_scores_gemma":[0.00001778537,0.0003325909,0.000125268,0.0004599672,0.00007981917,0.0003219064,0.0001264135,0.0001750363,0.00003748487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001367327,"about_ca_system_score_gemma":0.00007573001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001265657,"about_ca_topic_score_gemma":0.0003971737,"domain_scores_codex":[0.9974687,0.0001125956,0.0006669988,0.0008300445,0.0001425512,0.0007790735],"domain_scores_gemma":[0.999254,0.00005387764,0.000198301,0.0003050253,0.00005139469,0.000137425],"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":[0.0002255279,0.00006615583,0.002188095,0.0001386664,0.00002125125,0.000008773126,0.001505209,0.000001465513,0.994775,0.0001218355,0.0007808852,0.0001671265],"study_design_scores_gemma":[0.0006408009,0.0001650845,0.0004688041,0.00006390182,0.00007733102,0.000003203197,0.0002131411,0.0002497129,0.9952139,0.0001344122,0.002417083,0.0003526265],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954373,0.000496124,0.001755704,0.001197623,0.00006964393,0.0004892185,0.0003114738,0.0001227772,0.0001201671],"genre_scores_gemma":[0.9894107,0.0007781886,0.007364979,0.001671946,0.0000997743,0.0001287412,0.00006354874,0.00005084628,0.0004312599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006026553,"threshold_uncertainty_score":0.9999126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01832853905746368,"score_gpt":0.293562283861476,"score_spread":0.2752337448040123,"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."}}