{"id":"W2048230015","doi":"10.1017/s1431927609092356","title":"Challenges in Low Voltage Imaging in the FE-SEM","year":2009,"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":"Materials science; Nanotechnology","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":[0.0009460483,0.0002032266,0.0003160866,0.0002794591,0.0001058055,0.0001567851,0.0003737023,0.0000653593,0.00005922461],"category_scores_gemma":[0.00001908952,0.0001524747,0.00007595298,0.0003995309,0.00008840439,0.0001850615,0.00003618339,0.0002120626,0.00001900446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006530435,"about_ca_system_score_gemma":0.00002422155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002365838,"about_ca_topic_score_gemma":0.001138893,"domain_scores_codex":[0.9984807,0.0001267672,0.000314459,0.0004690897,0.0001338658,0.0004751463],"domain_scores_gemma":[0.999447,0.00004817791,0.00007873082,0.0003665094,0.00002076221,0.00003878996],"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":[0.00002185664,0.0001090215,0.001618693,0.00001190265,0.000002869711,0.0000251356,0.001126503,0.000001430008,0.9892365,0.0004877291,0.0002281605,0.00713022],"study_design_scores_gemma":[0.0002996441,0.00007223208,0.01161323,0.0000768059,0.0000301736,0.00002127914,0.0006718771,0.0000725799,0.9834352,0.001975192,0.00149543,0.0002363217],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9784304,0.01553983,0.0006998264,0.00318596,0.0000317699,0.0001974391,0.00000512191,0.00007206349,0.001837624],"genre_scores_gemma":[0.9940136,0.003425166,0.001268483,0.001132363,0.00003331901,0.0000149652,0.000005132443,0.000009828746,0.0000971506],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01558323,"threshold_uncertainty_score":0.621774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01298655450592967,"score_gpt":0.2854903047938624,"score_spread":0.2725037502879328,"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."}}