{"id":"W1597897754","doi":"10.1002/jemt.22441","title":"Electron backscatter diffraction applied to lithium sheets prepared by broad ion beam milling","year":2014,"lang":"en","type":"article","venue":"Microscopy Research and Technique","topic":"Electron and X-Ray Spectroscopy Techniques","field":"Materials Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec; McGill University","funders":"","keywords":"Electron backscatter diffraction; Materials science; Ion milling machine; Scanning electron microscope; Focused ion beam; Polishing; Analytical Chemistry (journal); Diffraction; Ion beam; X-ray photoelectron spectroscopy; Lithium (medication); Metallurgy; Composite material; Ion; Microstructure; Optics; Chemical engineering; Chemistry","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":[0.0005529733,0.0006886439,0.0004769728,0.001211568,0.000387758,0.0004351079,0.0003883914,0.0004978782,0.004444403],"category_scores_gemma":[0.0006341781,0.0005216144,0.0002171933,0.001131698,0.0003997739,0.0003858304,0.0003495299,0.0007694883,0.0007059446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001833974,"about_ca_system_score_gemma":0.0002571697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006355197,"about_ca_topic_score_gemma":0.00148866,"domain_scores_codex":[0.9997291,0.00003720603,0.00003409083,0.00005263395,0.0001188111,0.00002810634],"domain_scores_gemma":[0.999488,0.000149199,0.00005981325,0.0001108944,0.000173191,0.00001884732],"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":[0.00005457424,0.00001124895,0.000334346,0.0001195658,0.000006688785,0.000133795,0.0001036369,0.0001141856,0.9903811,0.0001875314,0.0001635932,0.00838979],"study_design_scores_gemma":[0.00001345032,0.0001059376,0.003771323,0.0000219482,0.00001787649,0.0004469145,0.0001292729,0.001235497,0.9888193,0.0001760724,0.005254475,0.000007912487],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7491977,0.007677484,0.2220155,0.0003528609,0.0003549237,0.0002830676,0.001409255,0.002146678,0.01656258],"genre_scores_gemma":[0.7752406,0.006233824,0.206,0.0002345768,0.00006769413,0.0003423638,0.001387859,0.0004441211,0.01004892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004444403,"threshold_uncertainty_score":0.01486796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01348663922344726,"score_gpt":0.3336737481208666,"score_spread":0.3201871088974193,"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."}}