{"id":"W4221157828","doi":"10.1016/j.micron.2022.103268","title":"Optimizing broad ion beam polishing of zircaloy-4 for electron backscatter diffraction analysis","year":2022,"lang":"en","type":"article","venue":"Micron","topic":"Ion-surface interactions and analysis","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Engineering and Physical Sciences Research Council","keywords":"Polishing; Zirconium alloy; Electron backscatter diffraction; Materials science; Focused ion beam; Cladding (metalworking); Ion beam; Electron diffraction; Ion milling machine; Microstructure; Alloy; Sample preparation; Cathode ray; Diffraction; Ion; Metallurgy; Optics; Electron; Beam (structure); Nanotechnology; Chemistry; Nuclear 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":[0.0007011323,0.000637109,0.0005702621,0.0006467279,0.0005225233,0.0009448442,0.0007681366,0.0007278537,0.002056536],"category_scores_gemma":[0.001160153,0.0004914742,0.0003673497,0.0005992119,0.0003151366,0.0005507515,0.0005031365,0.0003510191,0.0005250413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008083758,"about_ca_system_score_gemma":0.001290006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003642265,"about_ca_topic_score_gemma":0.01036927,"domain_scores_codex":[0.9995189,0.00003093489,0.00004963795,0.00008167425,0.0002473242,0.0000714929],"domain_scores_gemma":[0.99946,0.00008420197,0.000114014,0.00007856987,0.0002373422,0.00002585115],"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":[0.0001756535,0.00001970806,0.001418008,0.0001288784,0.00001526019,0.00007483179,0.00008237873,0.00111627,0.9901981,0.0002066162,0.0002632567,0.006301003],"study_design_scores_gemma":[0.00003196996,0.0002642671,0.01037887,0.00001310602,0.000032133,0.0001525616,0.0001418776,0.005073409,0.9796507,0.0001213355,0.004118836,0.00002090129],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9666986,0.0008138045,0.02752804,0.0001673052,0.00007692402,0.0001120331,0.0006679507,0.0009021785,0.003033079],"genre_scores_gemma":[0.9521294,0.000291491,0.04427044,0.00004485063,0.000008466648,0.0000553608,0.0006149537,0.0002290658,0.002355841],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003642265,"threshold_uncertainty_score":0.007242143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005585570989144238,"score_gpt":0.2243104324098884,"score_spread":0.2187248614207442,"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."}}