{"id":"W4249585691","doi":"10.1002/9783527808465.emc2016.5917","title":"Preparation of high fidelity holographic vortex masks using advanced <scp>FIB</scp> milling strategies","year":2016,"lang":"en","type":"other","venue":"European Microscopy Congress 2016: Proceedings","topic":"Particle accelerators and beam dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Materials science; Optics; Holography; Vortex; Rotation (mathematics); Physics; Computer science; Mechanics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002964775,0.000613645,0.0006512279,0.0003601913,0.00008728752,0.0002125173,0.0005051468,0.0002733159,0.00009404137],"category_scores_gemma":[0.00004746219,0.0005495617,0.0001458985,0.0002605084,0.0002515147,0.0004679935,0.0001199756,0.000312275,0.0001128108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006757313,"about_ca_system_score_gemma":0.00005468288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004479521,"about_ca_topic_score_gemma":0.00001175526,"domain_scores_codex":[0.9977863,0.00003528886,0.0007073574,0.0006062285,0.0002546669,0.0006101485],"domain_scores_gemma":[0.9987195,0.00003423487,0.00055401,0.0003330361,0.0002190869,0.0001400941],"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":[0.00002164499,0.00005067797,0.001128315,0.0009793155,0.0002752553,0.00001579804,0.0002964609,0.000429833,0.9340246,0.0003414846,0.06150783,0.0009287226],"study_design_scores_gemma":[0.005698657,0.0008128473,0.003640617,0.0129847,0.001044734,0.00008732574,0.001163467,0.01791458,0.5222513,0.0008898316,0.430303,0.003208905],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8657042,0.002950249,0.002378105,0.000002789684,0.00133966,0.0005812596,0.0002101929,0.0008858542,0.1259477],"genre_scores_gemma":[0.9567781,0.001747169,0.007001257,0.00002531607,0.0006291009,0.00001850424,0.00004799237,0.001228354,0.03252418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4117734,"threshold_uncertainty_score":0.9996956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01070500877068368,"score_gpt":0.2749718965369254,"score_spread":0.2642668877662417,"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."}}