{"id":"W2605700708","doi":"10.1016/j.ultramic.2017.04.001","title":"On the role of the second-order derivative term in the calculation of convergent beam diffraction patterns","year":2017,"lang":"en","type":"article","venue":"Ultramicroscopy","topic":"Electron and X-Ray Spectroscopy Techniques","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Acadia University; University of British Columbia; Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Memorial University of Newfoundland","keywords":"Diffraction; Electron diffraction; Second derivative; Derivative (finance); Computation; Amplitude; Physics; Numerical integration; Computational physics; Optics; Mathematical analysis; Mathematics; Algorithm","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004048702,0.0001200276,0.0001482849,0.00002774662,0.0002618142,0.00006967031,0.0006792847,0.0000627779,0.0002885003],"category_scores_gemma":[0.0001057412,0.00005913566,0.00006046505,0.0000678791,0.0002331024,0.0001234426,0.00004509719,0.0001865655,0.000006009867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004841992,"about_ca_system_score_gemma":0.00003871386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004192083,"about_ca_topic_score_gemma":0.0003585454,"domain_scores_codex":[0.999038,0.0001333988,0.0002435309,0.0001741885,0.0002218809,0.0001889785],"domain_scores_gemma":[0.9986768,0.0001542213,0.0003962797,0.0007024611,0.0000579773,0.0000121957],"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":[0.0000310032,0.00008668043,0.02554002,0.00001087876,0.000004320135,1.323683e-7,0.001104799,0.000003806372,0.9698644,0.003193518,0.0000753402,0.00008513532],"study_design_scores_gemma":[0.0001140028,0.00008634489,0.1899758,0.00004965228,0.0000055769,8.86732e-7,0.0001769583,0.00002951007,0.8075248,0.001824368,0.0001581027,0.00005400824],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975208,0.00002172368,0.0003317008,0.0004981132,0.0001509545,0.0004618148,0.00003267534,0.00001508035,0.0009671391],"genre_scores_gemma":[0.9994251,0.00001957453,0.0000971128,0.0002986736,0.00002315608,0.00003286779,0.000003326816,0.00000978141,0.00009041451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1644358,"threshold_uncertainty_score":0.3158876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009238611996831054,"score_gpt":0.2797572394534888,"score_spread":0.2705186274566577,"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."}}