{"id":"W2560730777","doi":"10.1017/s1431927616003962","title":"Design of a HAADF Detector for Z Contrast in SEM","year":2016,"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":"Polytechnique Montréal","funders":"","keywords":"Contrast (vision); Materials science; Detector; Optics; 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":[0.002530406,0.001195009,0.001300633,0.001185969,0.001268199,0.001604582,0.002535792,0.002259167,0.005409396],"category_scores_gemma":[0.002217205,0.001675311,0.0006064334,0.0005246931,0.0004937109,0.00115276,0.0006761163,0.001147951,0.003952973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00146224,"about_ca_system_score_gemma":0.002076998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00118512,"about_ca_topic_score_gemma":0.002110556,"domain_scores_codex":[0.9985643,0.0002112852,0.00009049003,0.0003613431,0.0006326968,0.0001399277],"domain_scores_gemma":[0.9975673,0.0004227459,0.0001725854,0.0001590654,0.001441691,0.000236682],"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":[0.0006369856,0.0001530926,0.002538729,0.000401117,0.00006223702,0.0003406084,0.000220092,0.002382905,0.9219694,0.005499699,0.01009043,0.05570471],"study_design_scores_gemma":[0.0001336294,0.0005019608,0.002544094,0.00003820656,0.00007726163,0.0008070341,0.00008639782,0.05035908,0.8858193,0.0008352266,0.05864751,0.000150265],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0160204,0.0003500614,0.9760401,0.0003565852,0.0002135782,0.0009154878,0.000400371,0.003468564,0.002234836],"genre_scores_gemma":[0.04744929,0.0001889947,0.9461401,0.0002548366,0.00003941165,0.001049404,0.0003594443,0.0004577344,0.004060658],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005409396,"threshold_uncertainty_score":0.01809621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01175272189670621,"score_gpt":0.2739127801464821,"score_spread":0.2621600582497759,"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."}}