{"id":"W2082848247","doi":"10.1016/j.ultramic.2007.08.001","title":"In-line holographic electron microscopy in the presence of external magnetic fields","year":2007,"lang":"en","type":"article","venue":"Ultramicroscopy","topic":"Advanced Electron Microscopy Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta; National Institute for Nanotechnology","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Holography; Electron holography; Magnetic field; Digital holographic microscopy; Optics; Electron; Physics; Interference (communication); Distortion (music); Constant (computer programming); Phase (matter); Field (mathematics); Electron microscope; Line (geometry); Computational physics; Computer science; Mathematics; Optoelectronics; Quantum mechanics; Geometry; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002006092,0.0002075021,0.0002802842,0.0002009976,0.000245664,0.0005075531,0.0004486493,0.0003011778,0.002230165],"category_scores_gemma":[0.0004166287,0.0002014059,0.00008069024,0.0002822118,0.0004179789,0.0006041621,0.0003534767,0.0004484079,0.0003396123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002732349,"about_ca_system_score_gemma":0.0002072741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005504846,"about_ca_topic_score_gemma":0.001216017,"domain_scores_codex":[0.9998428,0.00003109989,0.000007751821,0.00001777263,0.00007325601,0.00002728188],"domain_scores_gemma":[0.9995572,0.0001845453,0.00008620271,0.00007491843,0.00006165608,0.00003551016],"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":[0.0001346293,0.00002797694,0.0003583553,0.0001400997,0.000008939342,0.0002592974,0.0001090973,0.0003872787,0.9889618,0.001979334,0.0005286523,0.007104594],"study_design_scores_gemma":[0.00003625266,0.00006555325,0.002660898,0.00001445653,0.00001521045,0.0003863368,0.0001174277,0.004703355,0.9862489,0.0006400208,0.005096123,0.00001550986],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8984687,0.002953946,0.07015509,0.0005931241,0.0002415251,0.00007103283,0.0005180573,0.0004026355,0.02659591],"genre_scores_gemma":[0.9749785,0.001260764,0.01393951,0.0001281537,0.00005713352,0.00003015743,0.0001964391,0.00003862634,0.009370675],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002230165,"threshold_uncertainty_score":0.007460654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005255380728272157,"score_gpt":0.3331326228657156,"score_spread":0.3278772421374435,"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."}}