{"id":"W2003067458","doi":"10.1017/s1431927609097475","title":"Visualization and Simulation Optimization of PENELOPE through a Graphical Interface","year":2009,"lang":"en","type":"article","venue":"Microscopy and Microanalysis","topic":"Electron and X-Ray Spectroscopy Techniques","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Visualization; Microanalysis; Graphical user interface; Interface (matter); Computer graphics (images); Computer science; Microscopy; Chemistry; Data mining; Optics; Physics; 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":[],"consensus_categories":[],"category_scores_codex":[0.0002042263,0.0001426295,0.0002715208,0.0001292251,0.0001178624,0.00008139632,0.00008447612,0.00009146638,0.00009938446],"category_scores_gemma":[0.00002488321,0.0001312418,0.00004661765,0.0003493148,0.0001120316,0.0002718242,0.00002966914,0.00005925381,0.000001354033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002039807,"about_ca_system_score_gemma":0.00001504924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004686019,"about_ca_topic_score_gemma":0.0000124088,"domain_scores_codex":[0.9990417,0.00006835134,0.0003045028,0.0003102789,0.0001015164,0.0001735902],"domain_scores_gemma":[0.9995408,0.00002985866,0.0001507451,0.0001498965,0.00009068555,0.00003797991],"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":[0.00005231117,0.00005380757,0.0003208731,0.00001528798,0.00001241198,3.145647e-7,0.0004427476,0.003252614,0.9946052,0.0008673007,0.00003888352,0.0003382872],"study_design_scores_gemma":[0.0002079134,0.0002180666,0.0003575434,0.00003116133,0.000103346,0.000002621737,0.00005416675,0.01933114,0.9784961,0.0009001679,0.0001568428,0.0001408972],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5796279,0.0009008774,0.4191251,0.00009172327,0.00001292923,0.0000957261,0.000004877494,0.00005122356,0.00008969719],"genre_scores_gemma":[0.9714121,0.0007208714,0.02759989,0.0001710172,0.00001312432,0.000002521075,0.0000178011,0.00000871987,0.00005390956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3917843,"threshold_uncertainty_score":0.5351887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00983900585088087,"score_gpt":0.319651947847564,"score_spread":0.3098129419966831,"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."}}