{"id":"W2559893654","doi":"10.1017/s1431927615004092","title":"Avoidance of Radiation Damage in Vibrational-Mode Energy-Loss Spectroscopy","year":2015,"lang":"en","type":"article","venue":"Microscopy and Microanalysis","topic":"Advanced Electron Microscopy Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Materials science; Spectroscopy; Radiation; Electron energy loss spectroscopy; Atomic physics; Mode (computer interface); Vibrational energy; Molecular physics; Optics; Physics; Nanotechnology; Excited state; Computer science; Astronomy","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":[0.001568306,0.0005926337,0.0005765488,0.0007231947,0.0005993567,0.0008252917,0.001245008,0.0009524036,0.00369166],"category_scores_gemma":[0.003184501,0.0005587935,0.0004379773,0.0004720368,0.0007104503,0.001126194,0.00106917,0.001388423,0.001408748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001805366,"about_ca_system_score_gemma":0.0004300728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002252816,"about_ca_topic_score_gemma":0.0006004267,"domain_scores_codex":[0.9990519,0.0002264797,0.00004373842,0.000133724,0.0004565574,0.000087554],"domain_scores_gemma":[0.9980109,0.000566035,0.0003748987,0.000593102,0.0003875709,0.00006751964],"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":[0.0004481744,0.0001113273,0.001402984,0.0004223218,0.00005457794,0.0002275194,0.0001508638,0.0007254816,0.9450734,0.005448366,0.001162461,0.04477266],"study_design_scores_gemma":[0.00005193683,0.000350257,0.005336527,0.00007827933,0.00007247889,0.001970548,0.00006912779,0.003418315,0.9644128,0.003289713,0.02090222,0.00004781023],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2980863,0.01153645,0.6549046,0.001967484,0.0005457922,0.0003485425,0.0002233386,0.002589509,0.02979795],"genre_scores_gemma":[0.7206405,0.004817577,0.2562293,0.0008909577,0.0001927177,0.0002068225,0.0002996647,0.0011497,0.01557281],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00369166,"threshold_uncertainty_score":0.0123499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00591640482134281,"score_gpt":0.3003836281769467,"score_spread":0.2944672233556039,"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."}}